{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Figure 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "%matplotlib inline\n",
    "window = 25 \n",
    "visual = '/path/to/save/plots/'\n",
    "\n",
    "def set_style():\n",
    "    sns.set_context(\"paper\")\n",
    "    sns.set(font='serif')\n",
    "    sns.set_style(\"white\", {\n",
    "        \"font.family\": \"serif\",\n",
    "        \"font.serif\": [\"Times\", \"Palatino\", \"serif\"]})\n",
    "    return\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Loading data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2803934, 800, 1)\n",
      "(2803934, 3)\n",
      "(2803934, 2)\n",
      "(2803934, 3)\n"
     ]
    }
   ],
   "source": [
    "data_train = np.load('/path/to/datasets/train_data.npz', allow_pickle=True)\n",
    "train_x = data_train['signal']\n",
    "train_qa = data_train['qa_label']\n",
    "train_r = data_train['rhythm']\n",
    "train_p = data_train['parameters']\n",
    "print(train_x.shape)\n",
    "print(train_qa.shape)\n",
    "print(train_r.shape)\n",
    "print(train_p.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Excellent examples\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x216 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig = plt.figure(figsize=(10, 3))\n",
    "plt.tight_layout()\n",
    "plt.style.use(['seaborn-white', 'seaborn-paper'])\n",
    "lw = 1.0\n",
    "ax = fig.add_subplot(3, 2, 1)\n",
    "n = 3468\n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window , signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "\n",
    "ax = fig.add_subplot(3, 2, 2)\n",
    "n = 1540867\n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window, signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "\n",
    "ax = fig.add_subplot(3, 2, 3)\n",
    "n = 3478\n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window, signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "\n",
    "ax = fig.add_subplot(3, 2, 4)\n",
    "n = 1538042 \n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window, signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "\n",
    "ax = fig.add_subplot(3,2, 5)\n",
    "n = 3494\n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window, signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "\n",
    "ax = fig.add_subplot(3, 2, 6)\n",
    "n = 1541057\n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window, signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "\n",
    "set_style()\n",
    "fig.tight_layout() # Or equivalently,  \"plt.tight_layout()\"\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Acceptable examples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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OebzS0lI88sgjiIqKwkMPPYQffviBsw2JHdbG0dERa9euhUql4kwE5OrrihUrYGpqyoxt2gIVAEsQazQa1NXVYcmSJXjyySeRkpLCeQ4kzEybSZMm6Ynozs5ONDY2Mn3iE8Tl5eWwsbGBpaUlAHC6rLm5uYzrnZ+fzzv+NDU1AeguNfbII4/gvffeQ1paGg4fPozDhw+zViSImBTSEEQQE7eVTKQ8PT0527u6uooKYpVKhZUrV+LPP//U+1t9fT0CAgJw7NgxvP/++8znfIKYz3DQbR8VFYXff/8dAQEBsLW1hUwm40wiJ88BlyBub29HXV0dZs2a1ec7Cg5IQazRaDB06FCcPn1asF1HRwcuXbqEqKgo1kz9VlNSUoKJEyciLi4Ob7zxBrZs2cLZTqVS4dFHH8WLL76IoqIi0cxgSv9AwiUA3HFVJsrKyiCTyfDYY48hNTXVYNntYnz33Xc4cOCA6HNHSlAJlWOi9A9r167FiBEjEBISgvLycuzcuZNXvLa1tcHU1BS7d+/Wez7UajU6Ojr0HEtfX1+4ublh9erVvPdldXU1goODeQVxR0cHmpubIZfL8f7778Pb25v527x58/D0008jLi6OcQuVSiUCAwMZQUxiZbkEg7ZDDAhXSaivr2e5rgBgamqKTz/9FF9++SXzHc7OzszffXx8BAX25MmTcfDgQUyaNIkz7E+pVOpNMghGRka8saNcfZXJZPDx8WGuExFKO3fuxPz581nvpubmZpiYmGDt2rVYuHAhp1gn7ci4SfD390dubi7r9yYTL2NjYwDdYpFrm2ftCQoAhISE6E3UcnJy4O/vDx8fHxw9epQVOqCNSqWCpaUl/Pz8sHr1ajz88MP466+/cP36dYSHh+PEiROs/oWGhkoSxCQEZvbs2bj//vthZMQt0Tw8PETf9+T7uO79uro6pqrIp59+ylSt0J3IAICdnR0aGxs5Vzfq6urg4ODA/LdMJkNYWBjz3w4ODpyrOKRvXC58XV0d7OzsEBUVhR9++IEZMyoqKvDOO+/wTqAMwYAUxHl5eWhqasLChQuxYsUK3nbHjx+Hv78/Jk2aZNAfQaz8zi+//IJJkyYB6B70k5KSOAf8ffv24cSJE6iursbYsWNFszpbW1uxfv16SZmxBQUFBg8Tud2FYG5urugSrDZKpVLSNdIVxHeSQ0y2TrWzs4ONjY1grJwhuXbtGuzs7HgdMMJvv/2GRx55RHDpFej+re7Euph3MuPGjYO5uTnMzc2xd+9ebNq0iTeOtri4GE5OToiKikJiYiLWrFnD/I2IBd2YVplMhn379iE1NZX3t62pqUFwcDCqqqo4xTgRU0R4TJ8+HWvWrEFhYSETE+vl5YXi4mJoNBoolUoEBQVh69at+PPPP1FdXQ0LCwskJSXpiU6yyxrB29ubV8ASEaDL1KlTUV9fj8bGRlRVVbEErNDxmpqamAlEWFgYUlJS9M6/sbGRKZ/GhbOzM6eYamho0HOIAbDibokgnjFjBsaPH88Sb9rnOm3aNF5jisshHjx4MOzt7VnH0xXoISEhOHXqFM6fP8/6t/n5+SxBPHLkSCQnJzNjeENDA5qamuDm5oahQ4cCAG/ymkqlgp+fH/z9/SGTyRAVFYXDhw/D1NQUjz76KI4dO8bqX2hoKMrLy3nfvWQFxMvLC+bm5hg9ejQzEeLC39+fM5ZaG+JScwnxoqIiVtUW8ruVlpYyoS4EY2NjuLq66o39nZ2dvPcCwd7enlcQ+/n54dtvv9Xb8pncO+PHj8fff/+Ns2fPAugOjdu+fTuefPLJWxZbPCAF8fXr1zFlyhTs3r0bly9f5nWhrl69ismTJ+Pee+/Fvn37DOJCXb16FX5+foLCIicnB6NGjUJ8fDx++eUXWFtbc8bgnT59Gl988QWKiorg5+cnOmPcvXs3PvvsM9bslYvc3FyMGzdOMDO7p6SkpCA4ONggokSpVGLTpk148MEHOZ0AbfhehLpoNBpMmDBB8tJ7e3s7hg8fjmnTponWrNQWxLe6yoRGo+FNKLkZysvLWXFtJAu5N7z33nu8sWOErKwszJ07V9QhTkhIwBNPPIGysjJUVFTwTlC2bNmCpUuXit4L165dQ0RERJ/Hrt3thISE4M033+R9yROXl7hN33zzDVP6iStcgmBlZYW4uDhcuXJF72/r16/H5s2b4efnB0tLS84Sbdp1boHuuOTnnnuOcRuB7soLRkZGjAs8bNgwXL9+HR988AFqa2sREBCANWvWsJLXNBoNs7ECwcvLC2fPnuUcp7nCEIAbYqSiooJJVCMICWJtsUuu3dmzZ/HLL7+w2ug6vdo4OztzOt+6McRc/dG+rp6enqxz1l5mDw0NRU1NjV75MwB6CXUE3WTD5uZmDBo0iPlvDw8PWFtb6+2kl5eXx/o9HBwc4OTkxBhJxB02MjKCiYkJUlJSeJPXmpqasHTpUrzxxhsAusV1QkICZs6cialTp+Ls2bOMIK2vr2fig7l+L+IKW1lZ4c0335S0Gj1kyBDRsbi2thZWVlacgjgxMRFRUVG4ePEipk2bxiT8EaHK9X26hltTUxMGDRrE62ID3YKY67nLycnBnDlzAIDZklq73/b29hg2bBjWrl3LrCBUVVXhueeeQ3t7O+f9YggGpCAuKSmBt7c3pk+fjpkzZyI+Pp6zHZn9DBs2DLNmzWINJjfD9evXMWPGDADChb8LCwuhUCgQGBgIBwcHREREMAXetUlJSUFYWBiMjIzg7u4u6t798ssviIqKEnWS//rrLzg4OEjadpMkEggVCl+7di3Wrl0LZ2dn/P7774LHu3z5MtasWSMoXDZv3ozNmzcjLS1N8DdpaWlBeHg4PvroI7z22muCxyQDglBmsTakVNP169exatUqQadYWxDf6t21du7cicjISFFnVSpKpZIRKUFBQbyDdUlJCYYMGSJY7xXodhW2bt0quJ0vccTuuecewfPo6OhAYWEhAgMD4ebmhsjISN7lVzJx+vPPP/HHH3/wHvPHH39Ea2srnnrqqT7PcL7buffee3HixAnOpLmMjAwmaZMYD1OmTMHff/+NyspKXkEMcMdTbtiwgZncDhs2jKl4oAufM6uLXC5HZmYm5HI5EwZRXl7OJBU9/vjjKCoqYlZ/amtrodFoWMvP3t7eOHToEObPn693fCGnzdHREUqlUi+j38vLC4WFhZz3qUqlYhximUyG4OBgLFiwAE8//TTjeJJqEXw4OztzTq75xLu7uzvznGmLXk9PT9a7SfuaGxkZYfz48ZzVCLhCJgAgMDCQVbGBq118fDxrKR/Qd+yB7jGNvA+Liorg5eXF/M3BwQE+Pj7IysrSu8ZkS2VSg3fYsGH4/fff8eqrr8LR0RFTpkxh3k1kAkHqKOtSXV3NrICYmJhwnrMukZGRyMzMFFx1ra2tRVRUFE6fPs26vk1NTcjNzcXw4cMZN5xMMEgNYV1CQkJw9epVvWsgtMIAcDvEGo0GJ0+exKxZs/Daa6/B3d2dNcHRvncWLVqEY8eOQaPRoLKykpmkRUdHC37vzTIgBXFpaSlzI8fGxjIXXBftpZjx48frLcH0lD179mDYsGHYs2cPDhw4wPvC1Y3jCQkJ0VsSJhnHpHzN0KFDBcVDS0sLMjMzcf/992Pbtm145ZVXeNtevHgRy5cvR3JyMsrLywUFXEpKCtatW8cr8Ds7O/H1118jKSkJ7777rt5DpU1qaiqWLl2Kb775hleYtrS04Mcff0RSUhI2btwouI0pKRa/adMm/Pe//+XNdM/Ly2OyY/mytrn6On36dBQXF4smOGgLYisrK7S1tfFmm4vR0tIiuOvXiRMnMH78eLz66quSi8YD3QKf6/poZ/eTmESuvicnJ0OlUjHLW3wQt0Lo/DMzMxEYGIjg4GBcu3aN9znJz8+Hi4sLE8sHgPc3Lioqgo2NDZYuXYrly5fzuuipqanYunUrKisrUVRU1OtnnnIDW1tbLF68GBs3bmR93tXVhaamJuY+MzIyYjYeSE5OZmrD8sH1/G3btg0xMTHYvXs3QkNDeZf/6+vrJQvirKwsyOVyTJkyBdnZ2VCr1cjJyYG9vT1MTExYTijXtrtDhgwBwF3OjCsul0Cy/PPz81lJVuQdweXA6YZDLFy4EGZmZhg8eDBz75NwET74JhF8gtjNzY0RfNqixsXFBTU1Ncx4pOvK+/j4cK708TnEuuECXIJYLpejsbGRNQZyTTr8/PyYMYPrPhs6dCgWLVqE7777jvW59oSDEBYWxvRj5syZzASPTADc3d2xdu1avdAargoqYlhYWCA6OpozmZOgVCoRGRmJ5cuXs+oKX79+HYGBgTA3NwfQ7bjn5OSgoaEBLS0trDh1wqhRo/SS+8XuH6D7HtJ9Nmtra9Hc3IwhQ4bgmWeewahRo1i6QPvecXBwgJWVFUpKShhBHBoaCkD4HXKzDEhBXFxczAjimJgYNDU14fvvv9drp525Onr0aFy8eLFHIkOXq1evYt26dZgwYQLUajWv26Y7OHIVtler1TAxMWEyhEeOHImTJ0/yxmOlpKTA398fI0eOhEqlwnfffccby3rx4kXExcXByMgII0eOxAsvvMB7TufOnYOZmRnWrFnD+d1k8EtJScGUKVOQk5PD6SaXlpZi7ty52LBhA+bOncsrdNPS0qBQKODs7IzY2FhcunSJ0xlXqVT45ptvEBsbCwsLC0yYMIFXjBPRs3btWlRVVQmKdsLp06cxbtw4yGQyuLu7Cy7haAtimUwGa2trzmuflpYmKqyjoqIwY8YMrFu3jjO8Iz09HVu2bIGDgwPeffdd0fMgrFq1ChMmTND7XHuwHjduHLy8vLBr1y69duQFxeX+aXPlyhXY2dlh3759eOihhzjbJCUlISwsDM7OzjAxMWGWpHXJzMxkYv127NiBN954g3cJuaioCCtWrEB0dDSWLFnCu1VvXl4eAgICEBoaiilTpuDBBx/kPSal56xZs0ZvktPS0gJzc3PW0us333yDjRs3IjMzE+Xl5YKC2MvLi5Wco1arYWFhgb1792L69OkwNjbmrTQh1SE2NzfH66+/zgg0soHFunXr4ObmBqDbCSXutm5CHdBtbBw7doxTENfV1fE6xA4ODqiqqkJ6ejqCg4OZz2UyGby8vPDOO+/oTZLJcjZh3rx5yMvLQ2BgICPaxRw+Hx8fTmOCL2TCzc2N0yE2MTGBQqFgnFjda25ra8vpdPIJ4sDAQJYg5oo1JkmB2iEfutcE6C4PRioZVFZW6sXPjhs3DoB+HK6uqNdl0qRJSEhIQGdnJxPy4+rqivz8fL1qPUIhQUKMGjWKM1RIu4/29vZYu3YtcnJyGPGsHQYH3HDwr127Bl9fX87709fXVy9kVIpDrJ1oSdCdeAQHB7O2edYt5RYUFISMjAxUVlbCyckJR44cga+vr+TV3J4wIAVxYWEhM1hZWlrilVdeYcrqaKP94Ds6OmL48OGCy61i5ObmIjAwEDKZDA8//DBnPUVAfwbOVRNRt42zszPWr1/P6dQWFhZizpw5GDNmDCIjI7Fnzx5ERERwCvLq6moolUoMGTIETz31FMaNG4eEhARel+7KlSt4/fXX4ejoyBm+QASVg4MDLC0t4evry7nH+fnz5zFp0iQ88MADGDt2LK8gPnfuHJMMoB14r8vmzZtRWFiIzZs3IyEhASNGjOAVNpWVlXj22Wfx7LPPYvr06ZgxY4ZgPLZGo8GZM2cwceJEAN0xa0LhKtqCGOCuNFFcXIzp06cLTj5OnDjB7KC0a9cubNq0iRV7RcrVuLq6YtOmTfjxxx8FNyTQ7SM5N220BbFMJsOTTz6J/fv36x23uLgYs2bNwp49e3i3cQWAM2fOYMmSJejo6GCWw3VJTk5mEpp8fX3R0tKCn376SS8Z9fr164wgNjc3x8iRIznj/BsaGtDa2ooXXngBP//8M1asWIFvvvlG71w7OjpQVVUFNzc3eHl5Qa1WY9y4caJlDynSsbe3h0wmYy2jcgkaoNtRzcrKQkVFhZ5Q0cbPzw+lpaXMPVxdXQ0HBwfWi72nbqcuCxYsgLm5Od5++23WvwW6KwIA4HSIdXF3d+eMyxVyqu3t7VFeXo7k5GRERESw/mZubo59+4CACuMAACAASURBVPaxYvI1Gg0rqU4b7T6KOXwBAQGcm0nwudnaIRPaoVZAt2FDjIf8/HxWaAJfGBlfyIRuv1QqFef9o7sqwOXqxsTE4MKFC+jo6EB5ebmeO/rAAw9gx44deitPZWVlzESICysrK9jZ2aGiooIJiVi6dCkiIiKYkm0E3WslFVJxgw9yXAsLC8ydO5cJm9CdYLq5uSEhIQHz5s3jDJcAbvy2XNU9hOASrrrfT0J/CLql3IggrqqqYsYBsY1Tbpa7UhBrNBpERETwLt8WFhayyuuMHDkSp06d0ivBovuDz5w5k7OmH6G+vp5xP99//33WRgakKDgRFwsXLsSBAwf0Yi7JtpjaAw5XEW6uhIiwsDDO+OCTJ08iNDQU/+///T8A3WEiZDlal0uXLiEyMhJGRkb417/+hR9//BGDBg3izGitqanB6dOnMXv2bHz88cecJVSUSiVrOSgwMJAzYSkjIwMhISEAgOjoaF4RfuzYMUyfPp35b5IYoEtmZiZWrVoFNzc3yOVywZJH2jP0bdu2YfHixfjtt98425JjW1paMveQlJAJCwsL5r+5Kk3s2bMHDz/8MOMq6JKdnY3169dj+fLl+PDDD7FlyxZ4eXmxJhfEZTIyMoK9vT2mTp2Kr776SlKpNCI2dcss1dTUsAbr0aNHo6mpibmXCGVlZZg1axYiIiIwe/Zs3uWs9PR0zJw5E0D3y3nRokV655ubm8uUBHrmmWfw0ksvYcSIEXrLgxkZGaytbvmSjMjzTgRSQEAArKys9F72FRUVkMvlMDU1xYMPPohly5ZhzJgxNMHOgMhkMvj6+rKuqZjwEXOITU1NMX78eOzbtw8A9xK0v78/Tpw4oTepkuoQz58/H7m5ucwYBQC7du3CgQMH9KpRAPyC2NbWFq2trXqrZHyuK9CdiJuYmAiFQqHX1wULFjDfR1Cr1TAzM2NtaEHQ7qOYwxccHIyKigo9A4Mv3tnZ2Rm1tbVoa2vTKxF3//3349dffwXQPZHVfm5tbGw4wz74HGJnZ2eYmZkxIYJC7bRDo7gEsZ2dHVxcXJiJF9d95uLiouc0d3R0iE6knJycMGrUKJSWlsLR0REeHh7YvHmzXnjIzTrEwcHBuHLlCm/+irbQHj9+PI4dO4aMjAwcOnSI5RBrnzPXznhAt3E4ePBg1vtBrEoJOV5+fj5rYlJTU6NXLUX73SwkiLXrNAttnHKz3JWCuKmpCZWVlZwZzbW1tejq6mJdcLlcDrlcjieffJLVVtc9iIiI4I3Tzc7ORnBwMBOb++mnn2LDhg3M3xsaGmBpacmEOHh4eGDkyJE4fvw46zi6ZYCAboegubmZNZjX19fr3YxEbOo+IAUFBZgzZw5r0AgODuY8l0uXLmHkyJGsz0aPHq0XS9nR0YHly5dj6dKlcHJygq+vL+cNqvty4isXU15ezsy4AwICYGlpiSVLlrDaqFQqXLt2jbUJSXR0NL777jt8/vnnrLb5+fmsh1soI1t78JbJZIxrwMXFixfxxBNPIDY2lvlMaKtQQN8htra2ZjnE7e3t2LNnD55++mnY29tzus27du3CjBkzcO+992LhwoV4+OGH4ePjwxpIdGPPV61ahQMHDgiWFiRUVlZi6NCheuJPd0JjZWWFffv26bmmZWVl8PHxwXfffYfQ0FDOaiIk855UWfn2229RVlamt+ynnQ1OXPOoqCi9UJbs7GwEBgYy/+3o6IjW1la9JA7dZBmge6lU9/7XTloaPXo03n777Vu2NDeQ0Y7bBPSfD4KDgwPMzc1x5coVQUEMdE/yyb2r+8IFugVtfX29XliX2NK3EKGhoazSVWIhE0D3+MJV31fIqba2tkZWVhZLxBCWLFmCl19+GSUlJcy4LyRUPDw8mD6KOXyWlpZYsGCB3qqjUEUMR0dHlJeX64m86OhopKWloa2tDRkZGczKDtAtSrlCJvhWDmQyGR588EG88847APgFsYuLC1566SVmNUulUumFTABgVt24QiYAfaeZrFjwbW1NIGOxtvNMwkq0zZ6biSEGut1XPz8/3vAvbUE8ZswYmJubY+rUqbhw4QITow90xyMfOnQIK1euZJlNuugmBUoRxCQcIyIigjln3dAVXUGse+8MGzYMZ8+ehYWFBTNOUEHcA8hgw7Xco+sWEX755RdWqR1Af9ZOZjtczuX+/fsxceJEXLp0CUqlEjKZDKWlpUw2PdeySHh4uN5LmWs5ysjICI6OjqyHkmuWPnjwYDg4OOgt95eUlOgNpiEhIZwOcX5+PrMnPGHChAnYtm0bK04tPz8fZWVljFNIlgJ1Y6x1HcbIyEh8/PHHejG3FRUVjCCWyWT46aefcPnyZZa7WVJSAjc3N9bOSiNGjMCnn36K999/n+VK1tTUsBwK3dI/2ujW9ySuM9fv/O9//xtz5szBa6+9xnzGl7BD0H3h29raMg7x0aNHsW7dOri4uGDo0KHw8/PTi1fTaDQ4fvw44wYRdEW+7sya7ESkXQKIoFQqUVRUBJVKhezsbHR1dSEsLExPEOv+fkD3tWxubma5Otovk7Vr1+KZZ57RE6bl5eWwsrJiBtHAwEDMnDmTVeNbrVajpaVFrzj88OHDWe00Gg0r9Anovm8mTZqEr7/+mvVvdVeEyHfrrqZwvehv1dLcQEZ3K2c+QQN0/061tbWiglgul7O2Vda9Z01NTTFu3DhkZmZixowZzLMtNWRCCiNHjsS5c+eQlZXF6xAD3WOl7mqVUAyxjY0NK4FaF7lcjry8PHh7eyM5OVmwekRUVBSOHDmCgoICSTGg48eP11uBE3KzXVxccP36dQwaNIhJ2gKAQYMGQaFQ4Pz586ivr5ccMsF3X/zjH/9AcnIyNBoN7wrDmDFjUFtbiyNHjgiGkZANTioqKjgTypycnFjlO3VjXPnYvn0785sRAUg2ENGeANysIAa6TQ++yjra7wMjIyPExcUB6K7AMWzYMFbb8PBwvPrqq3pmmDa6laykCGITExM8++yzAG5sXd3c3Mz6HRwcHNDW1sbcA7ohUkFBQaiqqmJdM7749t5yVwrimpoahIWFobKyUm+JjMstArrFRWVlJbOU1dnZCbVazfrh7OzsYG5uzrk8fubMGaxYsQJlZWVIT09HeHg4tm7dijVr1qCkpIRTEAcFBektR/EN0LouJF8NySFDhugds6ysTE8Qk+/WdZO52s6bNw+enp44cuQI81lRURF8fX0ZJ9vU1BS2trZ45513WCJW12EcO3YsIiIi8MEHH7C+o7y8nPUQyOVyWFtbswQfX9zWnDlzWLHJXIOfp6cnysvLOTdF0V3ec3d3h6mpKTw9PVnxsBqNBpmZmVi5ciXr2vOVJyJwOcTk4d+4cSO+/vprxmniSqA8cOAA7O3tWW4ooL/zFZfbZWZmhoiICD2Hf8uWLRgzZgweeughTJw4ES4uLggNDcWVK1eY+5ss7erej2TZm/Szo6MD9fX1zP09adIkzlJKXDUug4ODWRVUamtr9eI/AX1BXFNTAzMzM70Bed26dfjyyy9ZcXpczzwppK/9rHC96BUKBfLy8mgJNgOimxPB5xADYCYyYoJB23XlExgBAQE4c+YMrl69ykzWuHbmulk8PDywbNkyfPLJJ2hsbOQVsCEhIXobPQnFEJN7ku94Dg4OTLhfYWEhr/ADul3tuLg4HDt2TFIMKFlJ0b7/hSpiODs7Iy0tjVUejhAZGYm9e/di6NChrBVQvt07+RxioHs1yNTUFBUVFbzvwnnz5uGtt95CUlISWltbIZPJ9LapBrrH0fT0dLS3t3P+BsSZJAYAGaPEsLGxwT//+U+9z7WTD4HeCeLo6GhkZWXpxSUD+ibc/fffj2eeeYYJR+spusnjUgQx0G2QzJ8/nwlh1XWIZTIZFAoF864l1SQIpqamWLx4MYYPH858FhERwVqdMRR3pSBubm6Gl5cX/Pz89BxYXYFGMDIyYolOMsvWLTodHh6ut8Tb1NSEjIwMjBkzBm5ubjhx4gQCAgJw7733YurUqTh37hynazF06FC9cmpCgljbheQKmQC6bxTdGT3XYGttbQ1nZ2e9+sbaoQva12bChAmskmRFRUV6+6xPmzYN//nPf1giUve8LS0tsXHjRr3v5UqcIUk1Qn3TPm+SLdzc3KwXQ2dubo6goCDOeGNdhxgAvvzyS2aXQO1zsbCw0Ft248tgJ/Al1XV1daGwsBBfffUVXn75ZQD67hnQXdFi6dKleiJRzCEmzJkzR6/uLxHSJAyBVOL4/vvvMXLkSKSlpTFLz1xLg9rOqVKphJ2dHWuFZejQoXrnweWa6SbI8L1svL29oVKpGNHDdy+Q51579UM3qxroTqaJiYlhvbC4Vl3s7e1hamoqWrubIh3d5U4hJ/Ctt97CkSNHRJen5XI5swrCJzACAwOZiSERJELO7M0we/Zs7N+/HwEBAbwbFsyePRtffvkla8VNyHUln/ONfQ4ODszzXFVVJSiIgRtlzpqamgQ35gC63VtTU1PWCpNQzWQhQRwYGIjff/+dFT9MvqMnVSYIZAlfSJiRXfr4wiWA7rHl7Nmz8PHx4b3PiEsM8I+zXCxfvlzP4PD29sasWbOwdetWANwhPlIxMzPD0KFD9VZ71Wo1urq6WNfP398fr732muizxIdu8rhUQQx0j7eHDh2CRqPh/C0WLVqEX3/9Fe3t7VAqlXr3z8aNG1l7GDg7O+P555+/qfMQ4q4UxDExMdiyZQtGjx6tFwsqtNyhnRzFN3ueOnUqDh48yPosMTERI0aMYOqhfvfdd0w2MInz5HrRKxQKVFVVMTvVAPyCWNeF5BuUJk2ahEOHDrGcX77B9rHHHsO3337L/Depbcz1MtF1s7ke4g8++ACPPvooa8LA9XIaMmQICgoKmPAKlUqF9vZ2vfMJDg7Wq0/I56Job17Cd76LFi3Cpk2bWJ+Rur66xx01ahRWrFjBEkLFxcV6kwBAPGRCdwAgSXUlJSWwsbHBPffcw9xrI0aM0BPtGRkZrHJLBG9vb5aw4HO7Jk+ejHPnzrHuidzcXObFFBISgujoaAwZMgTZ2dl444038OWXXwo6F9oOMdeEgivGi2v1QTd0gYhrXWQyGUJDQxlnTeilrDup4JoQmpqa4q233kJVVRWrLqvufSOTyfDII48IJllSekZPHGJra2um7qgQuiETfA4xCasiglhqHWKp+Pv7IzAwECtXruRtM3bsWAQFBTEVizQajWDoBsn8FwqZIFRWVgo6uMCNJO3a2lpJkwHtiXd7eztaW1t5xaWzszPS09M5BbGPjw/a29tZ8cPAjfGQrCymp6ejtraWt3oEgQg0ocnE8OHDUVhYiJycHN5Jgre3N2pqajhXjrXPi4wTUh1iAJyudHh4ONRqNRPqwPfOlYruxifADZ1zs+KXC12HWMoKA2Hy5MlIT0/HuXPnOAXx0KFDkZeXh5KSEri4uOglhMpkMsEd8QzFXSmIjYyMYGlpiejoaL2lYqHZnfZSBt9DNmXKFL2yUn///TdTr5A4WWRHOiJauEImjI2N4e3tzYqF4RugXVxcWKEafMtEkZGRsLe3ZyU18bWdMmUKa8LQ0tLCXDtdSKandj+5BtPw8HBWtQ6ul5OpqSmcnZ2Za02yyHUf3okTJ+I///kPU9lDaKvRyMhIJCQkMEX+uQa/BQsWoKysjCU4hVxQT09P1gDAJ4htbW3R3t7Ou2GG7gBqY2ODhoYGzhCC6OhoZGZmspbAdOOhCQEBASgpKWHtjsV1b7u4uMDFxYU1uaioqMCePXuQkpKCw4cP47333gPQ7eBPnjwZFy9eFMx+1hbEXO2GDBmCS5cuscrCccXoubi4oKOjgxEzQi+bqKgops6x0EtQN8GTr61MJkNISAhTfpBPSISEhFCH2IDY29ujq6uLCVvgiwHtCQ4ODlAqlejq6uIVxHK5nBlbtUMmDCmIZTIZ4uPjmVJsfEybNo0JKVKr1TA2NmZVotGGPFt8zwX53NLSElVVVcjJyeEtnwV0C+uioiLU1dVJciY9PT0ZQUyeJT6h5ezsjPz8fF6HGLixQQnBxMQEVlZWaGxshEajwbRp0/DYY4/pbVWti7e3N1atWoVr167xCjMLCwuMGzcOx48f5xXEZEznSlokaL9/pcYQ87FkyRLMnj0bxsbG0Gg0vKvWUuHapbYnLrZUPDw8cOjQIabMqZQYdIK9vT0WLVqEhIQETkFM3idCsfd9wV0piAmxsbG4cOECK2BfqOaftiDmE3weHh5QKpUsV/fatWtMfMuKFSuwevVq5sVPlnX4vlc3ZpTvpawbL8oXMiGTyXDffffh1KlTALrjQDs7OzkHWx8fH5SXl/PuIKT7/XV1dcy15HuRjBgxguUQ8z3s2rUH+dqMHz8eL7/8Mvbu3QtAeKvRoKAgmJub448//uAVQCYmJnj44YdZ5fBIsW8udGO9tDd00UYmk8HHx4ezvjI5P+3BiQhirqxmExMT+Pn5sSpx8F1rMzMzhIaGMs640O8XHR3NhJQQR97JyQkODg56M28fHx+UlpaisrKSd6DWTv7jenGFhYUhKyuLVemFq6yRTCbDsGHDmHAcoZfNqFGjmMmokDuhG28vJJ4DAgKY8+B75rm2LaXcPDKZDP7+/swkQ8ghloqZmRkGDRqE+vp63vFEJpMhMDAQ9vb2aGpqEnVmbyUeHh7MPSolbOPKlSu8Tjl55oODg1FZWcnasIYLNzc3pKWlwd7eXi+RnAvtKgBi14u897gqbPj6+uLrr79mVQkiODo6oqKiAjU1NTAxMUFmZiauX78uWH9aoVCgpaUF2dnZgo54REQEzp07x+tqm5ubY/PmzfjHP/7BewztnWB74hBz4eTkhA0bNqCiogIqlQoymUzQCRfD29sbe/bsYYW1lJaWCtZJvhlGjBgBAMyGSj1xiIHu37+4uJhzgxRXV1c0NTUhJSWFCuJbhb29PcLDw1kusVAShbYA4nMjjY2NoVAoWEuyNTU1jCBQKBR48cUX9Y7JN0jrZrHzDTi68aJCS8baG1uQOB+uGb2pqSlcXV2Z6gtCg52RkRErYY/PyQ4MDGSW7QD+CYi/vz8TOyr0QoiJiWHEiJCwIWL3/PnzgjF0Y8eOZd0PQi6Eu7s7iouLmaW8kpISTocY6HbbuXZwA/SvARHEfA6s9k5MbW1taG1tFcwaJ66pkCsQGhrKOKFiZYPMzMxgY2ODjIyMm3aIzc3N8f333+PYsWPMZ7rJEoTo6GicO3eOOQe+l83QoUOZ6yIWx6hbkYXvvtHe5YyvXWBgINrb25k+UnpPTEwMM2kXSp7qCQ4ODqipqRFcgv7www8xb948NDY2Qq1Ww8jIiNeZvZW4uroKhuroIuSUmpiYAOh+JquqqjhXnnS/u6WlRXLcqre3N/O+EwvHIAJWt1IRYerUqazqE4SRI0ciPj4etbW18PHxwbRp0wRzRoBuYUYqGIht3JKamioYVz1//nzeGrwAmA2tlEqlQdxXOzs7tLS0oLi4uFfuMNB97fLy8li7eYptHHIzmJmZITU1lZm89sQhBm5sQd7c3KwniEliXXx8vODqxq3mrhbEQLcA0n6RCTnE3t7eTFgAnwMLdD9g2uWphGItiSDmSqoDbmSxE/hEqa5DLDSIhoaGMpUtxAZb7VhPMaciKCiIEad8/TQxMWEcNaHloNDQUCa0QkiIe3t7My622ANISskJzVwjIiJw/fp1xukWEsSkaDs5ZyFBvHr1asTHxzNLV0899RR+//137N+/HykpKZyCmO+7tRPNyLXhE68zZ87E7t27UVZWJjhQh4SEMC6slMx6Nzc3pKam8r405XI5Ojo6UFtby3seYWFhSE9PZ2KX+XYcu//++5ldDoUEsbu7O+rr69HU1CR4X7u6ujITW41GIxhq4+fnx7rWfKEVK1euxP/+9z/OY1B6TmhoqEEdYuBGHLHQeBwQEAAnJyeoVCreePW+QHsVw1AudXBwMKqqqpCfny8oKsi1lnrNJ0+ejCNHjqCzsxNlZWWCJfCGDx+Of//734Llu7h49NFH8dVXXzHvoHXr1mH9+vWC45SlpSVeeukl7N+/X6+sojZeXl5ob2/ndYilMGbMGKjVamzfvv2md5bTRiaTwcXFBenp6b0WxKGhofjggw9YJl1paalgCMjNYmdnh66uLqjV6h4l1QE3nk8uhxjontCdP3+eOsS3El1HUEg0kMBvEqjPN0gFBwfjhx9+YBI0hGItBw8eDBMTE+Tl5fGGTEiJIXZ2dkZTUxMTqiEk+kxMTDBq1CicP39eVBB7e3vju+++Q2pqqmiCycyZMxnhIiSeR4wYgeTkZDQ0NMDc3JzTEZgyZQqOHz+O9vZ2wReCmZkZ42KLLdH4+/sjLy9PUABZWFhg0qRJ+PDDD7Fp0ybROLXHH38c//znP9HW1sYbMgF0b1gxbNgwZGdnQ61W49ChQ1ixYgWee+45PPjggywhrS2I+RxiMjETi3GMiIhAVFQUTp8+LSh0g4KCkJOTw9R7FHOkXF1dBQWxduk1vvvfzs4ODg4OyM/PR2dnJ2slRZuQkBA0Nzczkzi+c5DJZEziq9C9QJK2urq6oFKpYG5uzrhouowePRqXLl1Ca2ur4DMfFRWlV12GcvNomwpi1QSk4ujoiJKSEnR0dAi6gdbW1jh69ChGjx7dL+4w0C0O6uvr0dbWZhBBfPr0aTz22GMoLy9He3u7qGBTKBSSkhWB7nfE4MGDkZ+fj+LiYsHkM2NjY/zzn/8UvP5cREREoLy8HGVlZbCzs4OTkxMef/xx0aQwU1NTjB49WrANmRz05h4zNjbGjh07kJyc3OsYYoKrqysuX77M+06Rikwmw7x581BSUsJUwrgVIRPku+zt7aFUKgXfs1w4OTmhurqat+IH+Z2oIL6FhIaGIisrixUnyzdYmJubY9KkSThz5oygaFiyZAnS0tJw9OhRRqAKPWxubm7Izs6WHEPMNTgaGRnBw8MDR48eBSC8ZAx0iwzihIqJyD/++AMrVqwQHZjHjh2LtLQ0tLS0CIpnklgn5NR4eHjA09MTSUlJot9LwkrEHkA3NzfU1dWhvLxccEB+4oknsGvXLmzevBlJSUmCgvjJJ5/EoEGDkJKSIvoyIG57YWEhc8z4+Hh88sknrIGdZFXr1j8mjB07FgkJCVCr1ZKSfqKjo3Ht2jXByZ6lpSW8vLyQlZUluuwJdA/WDQ0NgsuqYoIY6H7+UlNTUV1dzZRw0kUmkzH1TsXi88iKi9D9b21tDRsbG+Tl5Ymeq62tLby8vJCZmSn4zPv5+TEim9J7vL29UVxcDI1GY1CHOD09Hc7OzoJCavDgwYw7rVKpev29NwPZ1a2qqsogpd/8/f0ZcS+0okQ4deoU1q9fL/n4ZEUvIyND0I29WYyNjeHr64vLly8b3LUn7+beOqaBgYHIz8/nXenqKe7u7vjpp594Vx17goWFBeLi4rB//34A3BV9DAUJTRLK6eGC3O98gphsiy4UunKruesFsaWlJXx8fJCZmYn29naoVCrBF2RoaCjS09MFX45OTk545ZVX8Msvv0jah5w8PFzt3N3dUVdXxwhroRf4m2++iRdffBHt7e2iLh/Zs76xsVFwsH3iiSeQkpKCsrIyVFRUCA5GVlZWCAwMxNWrVwWFWnh4OC5duoTKykpBcRMZGck400J9JC66mLg3MjKCr68vkpOTBa/NuHHjcODAAUyaNAmnTp0S/f3IxhYdHR2CzoC7uzvKyspQUFCA4cOHo6SkRG8zDUA8ZEIul2PUqFH4+eefJW0tS8ruiMW2kbAJsckUcKPmqdBsnfwuQi47qeJQWVkpuNRKQoLE3BcSeyk2OXrooYfwxRdfiN7/wI1tzIWeqUGDBmHw4MGoqKjAqVOn9Hbho/QMsj19Q0ODwRxiBwcHpKamiu5qp/0bG0KI3yzkXpbyPPYEKaEBJiYmPSpjNWXKFDz33HPYt28fZs2a1Zvu8eLu7o5r167dkiTHo0eP9rpurbu7OwoLCznLdN4Mq1atQkNDA2+8dU+ZPn06Ex56K2KICW5ubsyqdk9WWKysrCCTyVBZWckppGfOnIlt27b16zN51wti4IYQIDNxoYGAbJYhNkjFxcXh1KlTgpn4uvA5v15eXswNJiQOp0yZAk9PT2RlZYn2j2xVLCYizczM4ODgALlcjuzsbNHBaNSoUThz5gw6Ozt5b1yFQgEvLy/873//ExTEZPtFsVANqQ4x0O3kJScni8Y2jRo1ikmWEnuBenl54a+//uLc8lsba2trNDU1oaCgQHCWa21tzTjEfGJ8+fLl2LlzpyRB7OLigqKiIshkMsHBZPjw4bh69aqkFzBZThVyg6Q4xEQQ6+5EqAupOiLmEJOQCaEYfwBYtmwZfv31VyiVStF7gQh7sYkZqYv97rvv6tVYpvQc4vY3NTUZRBCPGzcO58+fFxUC5O//+te/WHXY+xoSR2zoShf33HOPwY5FWLhwIVORwhDuKBdubm7IyMi4JYI4JCSk10KLhP61t7cbpL5vYGAgSkpKsGTJkl4fC+hedSWl4fjC0wyBRqPB008/fVN1gYlW4nreTU1NMWfOnF73rzcMKEEsJRiebEAhJiTlcjnkcjkSEhJEBfHmzZvx+eef8/5dO2xCTBwOGTIE6enp6OjoEJydSRXEBCcnJ2RnZ4vGRsXGxuLgwYOws7PjHRRkMhni4uKwZ88ewZcTifWUEjJBYoPFzsXPzw9VVVWSYrzIfu5cLq423t7ejCAWgghdMUFsamoKMzMzQSE5YcIEyGQy/Pbbb6KC2MnJCZmZmaLtRowYwTjEYhOLqVOn4vDhw5whDgRfX19kZWVBqVRyhn4AN549MUHs5uaGiooK0WdUO4ZYrPyTh4cHzp8/L3quPj4+yM7ORltbm6AwmzBhAuLj45Gbm3vT259SbuDn54fr16/zVh/pKbGxsdi707ZQyAAAIABJREFUd6+owCAxm7NnzzaYO3cz3ApBfPXqVbz66qsGOZY2RkZGeO+99/Daa68Z/NgEV1dXVFdX91uioxS2b98u+C7vT8gEs729Hc3NzT1KeOsJ5FltaWnp8b8l46uUcn/9wYAQxKTklJRyKa6urmhtbUVBQYHoi9Tf3x+XLl0SFcQeHh6ChdojIiJw/PhxaDQaSVUhUlJSBIujk+8k5d6kDDBSRVVkZCRycnJEwwxiY2OZ/vJBRJCUkAlS7k1siYa84KTEZZF6mGKTJC8vL3R0dAjGDwPSHWIATOUFvmQvmUyGWbNm4eTJk6L9c3Z2Rmtrq+i9TZzQuro60XubxPWKHS81NRVyuZz3PNzd3dHZ2YmUlBRBQUxc7ra2NsG4NCKIpUyOfHx8JC3Bent7Iy0tTfSZIoLL3t6+x0lDFH1iY2Nx5MgRZmMeQzBmzBjExMQItiHPSX/GKgI3dj8zZLULuVx+y3b0Wrx4MZ555plbcmzgRkhhf9SFlsp9990nuulKf+Ho6MiU8xRbCe8NGzduxPLlyxEWFnZLjt+fDChBXFVVJSouZDIZ3N3dkZmZKSnO8urVqze9Dznhsccew9GjR5GXlwcLCwtBV05bEAthYWEBe3t7XLlyRdISl5OTE9Rqtai4J9ePq3KENsHBwVAoFIIPjVSHxMvLCyUlJZKWVUm5HykJBT4+Pno7/HBBnGGx7NfBgwejsbGRc8MNXUiSpxCkuL5YFjIRZ7pbhOri4uKCpqYmlJaWGuSlQ+4F7S2hdSFbLp84cULwmjg7OyMjI0N0u1GyY5QUV42sekhxiAsKCiTFGre1tYleZ4o05s6di4MHD6KoqMhgglgKMpkMJSUl/RqrCHSPUadPn0Z2dvYtS4C6kyDvntvZIb6dMTIygp2dHXJycm7pNTQxMcFbb72F33//vcf/9nZ1hgkDQhDb2dnB2dkZFy5ckFQ/0NnZGZ2dnaIvUrK3d2/rCNra2mL48OE4e/aspJf31atXJZU7CQsLw9mzZyXFEpE2UsR9WFiYqDg0MjLCX3/9hfHjx/O2cXR0RG1tLWpqagTFSE8C9/38/LB+/XqDZO4SyLWZOHGiYDsSMiFlK047OzvGReeDTCbEYiKJgCRlAPkwMjKCQqGQNKGSgkwmw+LFi7Fy5UrBdiEhIaIuoKurK9RqtaT6yGVlZZIcYhcXF2RlZYm2I7+vmKNiZGSEf/zjH3jggQcE21GkYWtri+3bt2P37t39Lk77g5kzZ6KkpAQpKSm3LAHqToKMmYbecngg4ejoKCn0sb+IjY0V3DSmv+Fe57wLiYiIwOHDh7FgwQLRtuQFKRbXRmb1vRXEQLcbmJCQIDqz8/X1hVqtliRooqOjceTIEUmCmAhhKYL40KFDgq6gVExMTGBvby85MbGurk7ScR9//PFe9oyNTCZDdna26EtbWxCLTbxOnz4tKtTc3d3xwAMPIDg4WFI/pcRhKhQKZGRkGEQQA8D//d//ibYh5XSEXvrE5RZaHQG6z7G8vBxmZmaiTq2zszM0Go2o80smFFLu6XXr1om2oUjnvvvu6+8u9BvW1tbYunUr5s+fTx1i3HCGpdZHpujj4OBwyx3i3rBu3brbegwdMII4PDwc+/fvlxQ+QF6gYgKIvOANkc3p5uaGv//+W/TlTQZOKa7p2LFjAXQnCopB4mOlzCxlMhlvzGhPIWEQYuezefNmyYL4ViDFwbK2tmYKo4u1lzqJ+uyzzyS1++STTyTtDkXiJvtywIyIiICFhQUjjIUQc7mJCJYSckImCIYS/xSKoYmJiZEUtjUQGDJkCOLj4wfkaoGhIA6xIZJUByIDShAD4svPAESTiQhkCXjEiBE337H/HycnJ+Tk5Iguy5MYHDEnDeheci8qKpIUXB8XFye5rSGRGlM0f/78W9yT3kMcYjc3N4OU5ekJDz74oKR2ZOLT292ReoKvry9rq3MhpLjh5ubmaG1tFW1HJr9Ssq2feOKJfq04QKEMdGQymWjFH4owcrkciYmJTP4JpWcMGEEcGhqKF198UTRuEwAeeeQRTJ8+XbSdQqHAhg0bDBIy4eTkhJaWFslultSBQ6rAlclkfS7igO7SZ5WVlX3+vbcC4mzczlnSxJG/HV2Y+Ph4SbHfUneLIy6JlGO+++67ko5JoVAotytyuRylpaW3bcjE7c6AEcTm5uZYvXq1pLZkv24xTExM8Nhjj/W2awBuvLyliKm0tLS7puzT1q1b0djY2N/dMAhkQnE7VyGYO3fubevCSO2Xq6urpJUeV1dXHDx4UFIoCYVCodzpEHNOSvEAij4DRhDf7pDSXlJe9HfT7M/U1PSue3ilhLP0F2ZmZoiMjOzvbvSKo0ePSrrGMpkMUVFRfdAjCoVC6X9IUnx/19i+U6GC+DaBLGXTYPg7n7tN4N9u0CQ5CoVC0YfkSomVRaVwI9NoNJr+7gSlm1OnTmHMmDGim15Qbl+SkpLg4+NDRTGFQqFQ+pyjR49i2rRp/ZITdKdDBTGFQqFQKBQKZUAzIHaqo1AoFAqFQqFQ+KCCmEKhUCgUCoUyoKGCmEKhUCgUCoUyoKGCmEKhUCgUCoUyoKGCmEKhUCgUCoUyoKGCmEKhUCgUCoUyoKGCmEKhUCgUCoUyoKGCmEKhUCgUCoUyoKGCmEKhUCgUCoUyoKGCmEKhUCgUCoUyoKGCmEKhUCgUCoUyoKGCmEKhUCgUCoUyoKGCmEKhUCgUCoUyoKGCmEKhUCgUCoUyoKGCmEKhUCgUCoUyoBkQglitVuOzzz7r725QKBQKhULpJ9577z1kZmb2dzcotykDQhAnJiZi/fr16Orq6u+uUCgUCoVC6WNUKhW2bt2KQ4cO9XdXKLcpA0IQl5WVsf6XQqFQKBTKwKGiogIAkJGR0c89odyuDAhBnJSUBAAoLCzs555QKBQKhULpayorK2FjY0MFMYWXu14Qd3V14ejRowgODkZlZWV/d4dCoVAoFEofU1VVhTFjxqC4uBgtLS393R3KbchdL4gzMjJgZWWF6OhoVFdX92tfSkpKEBERgeLi4n7tB4VCoVAoAwm1Wg0bGxt4enoiPz+/v7tDuQ256wVxXl4ehg4dCicnJ1RVVfVrXzIyMlBZWYmLFy/2az8oFAqFQhlIqNVqWFhYwNfXF3l5ef3dHcptyF0viPPz8+Hj4wM3NzeUlJSIti8qKoJKpUJtba3B+0Kc4fT0dIMf2xC0trZi7dq1uH79ukGPq9Fo4OHhgaKiIoMel0KhUCgUKbS0tMDS0pIKYgovd70grq6uhrOzM/z8/LB//35s376dt21XVxfGjBmDjz/+GOPGjcPly5cN2pfS0lIEBgaioKDAoMc1FCdPnsTXX3+Nhx56CEql0mDHLS8vBwBJE5KBiFqt7u8uUCgUyl1NS0sL4xDfTSETSqUSubm5Pfo3R44cgUKhuC1L0Z4/fx6vvfZav3z3XS+IVSoVBg0ahCFDhgAAtm3bxtuWVKE4dOgQGhoacPjwYYP2pb6+HmFhYbetU5qVlYWnn34aMTEx+OOPPwx23OzsbAAQjZ0+cuQI/v77b9HjEcfZ0E52f3D69GkEBASgpqbGoMf96KOP0NjYaNBjCpGdnd3vIUl9xYULF9DQ0NDf3aBQKD2ACGKFQtFjAXk789FHH2HChAno6OgQbatSqbBu3Tp8/vnnaG9vZypw3U588cUX+O9//9svRtFdL4ibm5sxaNAg2Nraori4GGq1GvX19Zxtf/jhBwwaNAj5+fm477778Oeffxq0L/X19Rg2bBhKS0sNelxDkZeXBz8/P8TGxuLChQuCbefMmYN169ZJOi5JZhQ77yeffBJvvPGG6PGIeDxx4gRvm7q6Onz11VeS+gcA77//Ps6cOSO5vaEgk679+/eLti0qKkJ7e7uk43744Ye4dOlSr/qmzaVLl6DRaDj/ptFoMHHiRERHR8PDwwMpKSkG+c7Tp08jMTFRsE1eXh42bNhgkO+TysaNG5GWltan33m3kpqaSldIKH2CWq2GpaUl/Pz87qqQiYSEBACQNCYdOXIEu3btQmJiIubNmyc6vvYHRJ8Jlcc7c+YMWltbDf7dd70gJg4xAMhkMsH4ofj4eOzYsQMA8K9//Qt5eXm8IuBmaGhogK+vL5RK5W25VFFdXQ0nJycMHz5c8OFqbGxEYmIidu3aJckVJG2E4rJVKhWA7of6yy+/FDweWe4Sqit95MgRvPrqq5LDUz799FPmtxfjxx9/xKOPPiraTqPRYMmSJbwvfI1Gg6NHj2L16tWiE5CGhgaMGTMGP//8s+j3Eveyra1NtH9SSE9Px+zZs3ldlfLycjg6OjITyPj4eEnHFWPhwoVYtmyZYJsDBw5g27Ztou7IoUOHkJqaapB+1dXVwc7OziDHGsgkJiYiLi4OixYtuiUvt4FEXl4eJk+ePGB3YaurqxNdESMOsbu7O+rq6vTGZaVSKTpmAt1m0O3iMGs0GuTk5GD69OmS6isnJibi9ddfx5kzZzBv3jzs2LEDP/zwQx/0VDqlpaUYM2YMrwapra3F4sWL8fbbbxv8uweEILaysmL+e9iwYbhy5YpeO41Gg+zsbISFhaGgoAAhISEYNGgQs7sNHxqNRtJDBHTPfORyOaytrVFXV9ezE+Hg1KlTuHbtWq+PQ1AqlZDL5XB1dRWs2ZyXl4eQkBBMnDiR81pqU1lZid9++w1+fn68ccmJiYkYMmQITExMcN999+Hjjz8WPGZycjJcXV2ZUAwuiEu5adMmrFixQvB4PXWojh49ihMnTqCzs1OwXW5uLv78809cvXqV8++JiYmwsLDAnDlzRGf3RPyLCWfghhMvVGaws7MTnp6eOHfunOjxyODPF+qTk5ODwMBAKBQKbNu2jfd8paDRaBAfH8+IdblcLtieTLaEzlWj0eCpp57C888/L/r9p06dEo1fo4LYMBw7dgwvvPACrK2tsWvXLt52n376KebPn2/QvAZt2tvb8ccff4g+z7cze/fuhYuLC1555ZUBl6vR1dWFuLg4xMbGorm5mbcdEcRGRkbw9vZmGWMtLS0YPnw4XnjhBezevZv33dLe3o7ExEQcP37c4OdxM5SXl2PQoEEIDw9HTk6OaPvMzEyEhobCz88PEydOxCuvvILNmzf3QU+lodFoUFFRgSlTpvAWH0hOTkZkZCSWLFli8O8fEIKYOMQAMHXqVJw8eVKvXWNjIzQaDezs7GBiYgIA8PHxEXQYP/nkE3h6emLmzJmS+tLQ0ABbW1vI5XKD1ERetGgR3nrrLdF2Bw8exI4dO9DV1SXoCiqVSjg4OMDe3h4NDQ28y/NlZWVwc3ODm5ub6GYnzz//PC5duoSxY8fyvtCIc9zR0YFPPvkEzc3Ngi+ns2fP4uWXX0ZxcTGOHTvG2aagoAA2Njb46aef8Pvvv/O2A26ITakbtxCBSJIFubh27RpiY2MBgNOZrKurw9y5cxEZGQl3d3dUVFQI/jbFxcX4/9i77vioqrT9THpIn/ReSIV0EhISOgSQLgioIFhAXRVFFmwIyyoWUFxXFJAVZIVPQARBYVGKCAJJSCChJCGNhAkpZCZ9UiZtvj/md673ztyWEEDhPv8oycm957ZznvO8z/seJycnUSonIYl810NIqxibCHk+XN8CeR8AIDQ0lHOR1t3dLWj5+O233zB37lzKHy60WCHbsbNda2dnJ7Zu3Ur9jssqRVBfX4+//e1v2L59O+f7p9VqJULcR7h8+TJiYmLwyiuv4Pvvv2dt09raig0bNsDJyQlLliy5I5G1HTt2YOHChdi5c2efH/tuITs7G4sWLcKCBQv+VASHoKurSzAKUFFRgby8vB5HZfPz82FiYoLk5GReMYWUXQMAPz8/RmJdeno6Bg4ciJ9//hlvv/02NmzYwHoMMgbyiTG9QXp6eq/2J6isrISnpycCAwNF9amwsBBBQUEAACMjI8yePRt1dXU9EuiuX7+O9957r0+j5wRNTU2wsLBAbGwsp0hUWVkJf39/hIWF9fn5HwhCbG1tTf07PDycNbTQ1NQEW1tbxs/0PxqC5cuXY9WqVVi7di0A8USqsbERtra2cHJyum1CTMiYjY0Nb7vW1lYsX74cmzZtgq+vL/bt28fZlhBiY2NjODg4cCZ6VVZWws3NDa6ursjPz+ckaVqtFjk5OdiwYQNmzZrFaZmg2y4sLCxgb2/PacXo7u5GWloaRo8ejZdeegk//vgja7uysjIMHjwYADB//nw8+eSTnOoBiQjwEVxAZ0HYunUrqqqqMGjQIFaCWFpaiuzsbKSmpmLkyJF45ZVXWBWb9PR0eHt7Y/Xq1bC0tISFhQWvpaSiogKjR49GcXExL0ns6uqiFh58BHDfvn3w8/PD2bNnOdtkZGSgsrKSOh6XQkwnxIGBgdBqtaxK9s6dO7Fy5Up0dnZyLo6IanPkyBHY2NgIlj+srKyEo6MjaySnpKQEq1atwpEjRxAdHY36+nqo1WrOY504cQKJiYlwd3fn9LvX1dVBq9XC0tKSt18SgNWrV/MmEFdWVsLLywvR0dGorq5mvecXLlxAWFgYPv30U9y6dQuHDh3iPF5vvcgnT57E3LlzRfn4e4PKykosXryYN9rY3d2NI0eO9No6UlxcjJCQECxcuBBHjhz50+3K+tJLLyEqKorz+6upqcG4ceMwb948rFmzpkfHzs/Px8CBA7Fy5Up8++23nHYGUnYNgEGliby8PCQmJuLs2bM4ePAg514BZN7uS8uEQqHAjBkzMGPGjB4nJiuVSjg7O6N///6ChJhYQlxdXamfyWQyBAQE9Oh6du/ejY0bN4raT6GioqJHCch1dXWwt7dHWFgY8vLyWBfAVVVVcHNzE33MnuCBIMR0hdjHxwfNzc0GRJeQVTqCg4NZPVnffvstFeKbNWsWteoUAjnH7SrEra2tOHfuHNzc3AQrVuzcuRMjR46kvKpc1SMaGxvR3d1NEWw+0k4IkKurK7Zu3Yrx48eztquqqoKxsTFmzJgBJycnThKkP3i7u7tTyp8+Kioq0K9fP7i4uCAmJoaTjJOwCwCsWbMGMTExnKH80tJSxMXFoa6ujlfB/Pnnn7Fq1Sp8+OGHCAgIYPUwf/rpp5g0aRLKy8uRlJSEoKAg1om+uroaw4cPh1wuBwC4urryTpg1NTXw9vbG4MGDOb3OGo0GPj4+SE9Ph5mZGSch7uzsxN69e/Hf//4XKpUKq1evhre3N+XjJpg+fTomTJiAuro6REdHcyrE1dXVcHFxAQCYmJhg7NixrAl9ubm5uHz5MlasWIFp06axLkwrKyshl8vx8ccfIywsDBqNhneb1crKSkRFRbESAPKNnzhxAr6+vvD09OQNJ2dkZCA5OZlzIQzooi1E+ZfAj6qqKl6LD8lZMDY2xrBhw1ijFQUFBRg4cCBMTU3x/PPPcy7oc3JyEBgYiA8++KDH/czNzcVzzz2H/Pz8O2LL2L17N/bv38/reTx58iQWLlzIqUzyob29HTU1NXBzc4NcLseECRNw4MAB1rZXrlxhtbmVl5fj0Ucf5RQY6HjiiSfw9ttvi+5fU1MTjh8/jlGjRuGjjz5ibXPixAkkJSXh2LFj2LVrl6BVkY6CggIEBwfD1dUVc+bMwd69e1nbEcsEYCh2FRcXo3///nBzc0NERAQqKytZ8xIaGxsRFhYmKilPpVKJUlF//fVXzJ49G3PmzMEzzzzToyjIrVu34OrqCj8/P9y8eZN3/ioqKkJgYCBkMhnj5z4+Pj2qfFVUVIT4+Hh88803vO06OzsRHx+Pxx9/XLSaTKJv9vb2VCEEfRBB7k7gvifELS0tDA+xsbExJk+ebBBCV6vVBmrrU089hXPnzjHM+p2dnZSlAgDWrVuH6upqwaSetrY2aLVaWFhYwMnJ6bbKbAUGBmLx4sWYPn06r6qp0Whw9uxZTJw4EU5OTkhMTORU3C5cuAAPDw/qY+Hb2a+qqgru7u6Ml5ItxEwPz8jlcs7JRqlUYt68edQz4VPocnNzERgYCADw9vZGeXm5wcem0WjQ2tqKRx99FNu3b4exsTF8fHw4SfaNGzcQEBAAd3d33oHhwoULWLFiBaZMmQIPDw+89957Bm3Mzc0B6BQELy8v+Pj4sK6+VSoVwx/r5ubGOQk888wzSE9Ph1wux3vvvYcvv/yS1bd+6dIlALpqKf7+/pyEeMaMGVSY7T//+Q9lpykoKKDakPe8vr4eRUVFvIRY30IQFhbGWhKvuLgYly5dws8//wx7e3uMGTPGYMCrqqrCE088AUBnWXJ0dGT9Vo4cOYIXXngBKpUKAwYMYCXE5NgXLlyAj48PPD09kZ2dzbnQy8/PR0hICK9V6tatW4iJiWH9nQQmoqOj8f3337NOhhqNBs3NzdR7Ex8fz7qIKi4uRkBAAACd3S0tLY1VZTx06BDmzp2LI0eO4KeffgKgi1AJTcQtLS2or6+Hv78/hg4damCnO378OIKCgkQLGGlpaQaL9MzMTGzcuBFpaWmcZa7Onj2L+fPn4+uvv2YstAsLCwU9wRUVFXBxcaHmpfHjx7NW4NFqtXjssccwadIkg0Xmtm3bYG5ujjVr1mDbtm2c51IoFDh79ixOnjzJIN0qlYrz2rKyshAREYE1a9Zg//79rELC5cuXERcXB7lcjokTJ3Imem3fvh2vvfYa47kSQgwAo0aN4syLIFUmABiUXrt+/Tr1npmbm8PR0ZF1Dqqvr0dYWBjq6+sNBAQ6fvrpJ0RFReHtt98WfAezs7MRFxeHpUuXoru7m3p/xYAoxBYWFnB3d+e1eNLnYzqExBi247z11ls4ceIEL48hi9S2tjbRyZ70uYSrXjThH3cC9z0h1leIASAoKMhghcemEFtZWSE0NJRh7q6pqYGDgwO+/vprfPHFFzAzM+MM2eof387ODjKZDM7OzqwDrFKpFCwhRV8BJiQkQKlUYvPmzaxtp02bhmPHjiEyMhIAYG9vz0qI29raMG/ePISGhlI/c3Z2xtmzZw1eyKNHj+LmzZtwd3enVEGAvYJEdnY2Bg4cCACwtbVFa2srK5FTKpUYNmwYBgwYAADw8PDgJK9ffvklZsyYQR1TJpMZhGRqamrg6OgIc3NzpKSk8F47oCPEvr6+CAoK4gw7abVaVFVVwdPTEwDw0EMPoba21mBBQs6RmZkJDw8PDBw4ENevXzeYxGtqauDk5ET9m29QOn/+PFJTU+Ho6Ah/f3/Y2tqyrpwLCwsB6Ab+/v37sxLiuro6XLhwgYpwDBw4EK+88gpCQ0MZhLimpgb29vZISkrCuXPnEBMTgxs3brAO7g0NDQxC7OrqyrqYIkkfgwYNwq5duxAZGWlwHZWVlUhKSkJBQQHWrl0LuVyO5557zuDebNu2DQcPHgSgW0x8/PHHBiS8oaEBJiYmaGhogI+PDzw8PLB06VLMnDnToG+dnZ3Iy8vDgAEDeAkxsRVJEMbTTz+NyspK1gmeLAiNjHRTUGxsLOtGSDdv3oS3tzcA3fceGRnJqjpfu3YNI0aMwDvvvINPP/0UWq0WL730EsaOHctrpVAoFPD29oaRkRHGjh1rkCz13Xffoauri0ESn376abz00ksGx+rq6sLMmTMxa9YshkBQUlKC8PBwrFy5Eq+++iqreFJYWIhRo0Zh4cKF1BxQX1+PlJQUTJgwgfq22VBdXc0Igw8bNgxZWVkGhK2mpgZarRajRo2ivh2C9PR0vPjii9i/fz82bdrEGUnMzs7G6NGjsXHjRqxevZoaz5ctW4bJkyezhscVCgUCAgLg6OiIqVOnslpT6M/54YcfZt0DoLOzE2vXrsXhw4cZ71RBQQFCQkIAAFFRUcjJyWFVSumWiYCAAFaFmMDT05N1DmpsbIS9vT38/f15LQrbtm3Dhg0bcO7cOU5/PL3/wcHBkMlkeO2117B+/XqDd6SmpgazZs0yGJdu3bpFzcMBAQG8iXVchNjFxUW0VaO9vR3l5eWIjo7GhAkTsHv3bt7rioyMxKpVq/D++++LsgPV1dXBzs4OALdlVbJM9BLkYzUzM2P83M/Pz2CV2tTUxOrHdXNzY5BXsiIbN24cpk+fDkBH4Phq7F69ehWlpaUU4XZycmJVtHbv3o0vvvgCGRkZGDx4MNLS0gza0P/Ow8MDAPDuu++ykh9SacHf3x8A4ODgwEoKjx07huHDhzPKnTk7O2PTpk149913GW2feuoppKWlwcPDg/oQ+/XrZ/BBNTU1Yd26dZRtQSaTcZ6fHnIHuC0TtbW1yM3NpQgxAFYFlhBiOuzt7TkTB0pLS+Hn54fk5GSsX7/ewGus1Wqpigxk4omIiMCoUaMMbBhkxVxbWwtPT09YWFhg4MCBBuqJSqUyIMRsan9rayulrJNz+/j4sKosCoUCycnJAHTqHNs7UVRUhNjYWOqdAIDXXnsNY8aMYZBOQnIHDRoEjUYDPz8/mJiYsCoC9fX11CAGgFXVbWpqQmNjI2bOnIlnn30W1tbW8Pf3N/huSDjMysoK5ubmaGtrQ1ZWloF6mJeXh4MHD+LXX39FUlISABhMPGq1mlqQRUVFUSoSWxTg8uXL8PLyglwu51XrSSUWCcIwMzPDu+++y2oDIHYJggEDBqC0tNSAxCmVSsbYEB8fz+pdJJP9iBEj0N3djc2bNyM1NRUBAQGsCyoCOpkcMWIEfv/9dwaZvXLlCrZs2YKdO3dSyUe//PILDh8+bPCOX7t2Df3790f//v0ppbm9vR2VlZXw9vbGtGnTYGFhwTquE4Xyueeew6lTp6BUKnHs2DGkpKRg1apVeOKJJzjHL/2xpF+/fhgwYIDBAoMs/OfOncuwFWi1Wly/fh2BgYHw8vLCxo0bsXLlStacC3Kfo6Ki0L9/fxw/fhxarRZXrlzBwIEDWS0XZWVllJAwffp01jY3b96El5cXAN0zLi4uNri/paWlcHBwwBdffEEtejQaDcrLy6nxzNoglG4jAAAgAElEQVTaGl5eXqwRKrplwt3dHXV1dWhtbUVjYyPUajWDZLm4uLCOxw0NDbCzs0NMTAxnnfe2tjZcuXIF48ePx+eff4533nmHt0RoSUkJRcaHDRsGZ2dnA2vQjz/+iHPnzhkkftK/D6EtqYuLi6noKh0uLi6iFeKSkhJ4enrCzMwMCxYswI4dOzgTkMvLy+Hh4YHhw4fDw8ODWmw2Nzdznq+uro4SHCRC3MdQq9UG6jCgC9/rDy5lZWWsMry+35eYvukIDQ3F+fPnkZOTQ4V7CVpbWzF+/Hi8+uqrFGngInyE2H3yySdQqVSsu+rRP1J3d3ekpaXB3t4eAwYMMFDvbGxskJaWRtkgCCnUb5eVlUURKQISPqL7jejqbkBAAFxdXfHkk08iOjragBCfP38eiYmJDL+lu7s7Q4UkqK6uZgzoXJYJsoo3NTVltJ08eTJjRV1TU2Og4nER4h07dqCkpATe3t5YtGgRLC0tDcKNhMTX1tYyJmcPDw9WhTg8PBzAHwSWbRLXt0x4eHiwhkbpPyPH5SLEN2/exMMPPwwAiImJQUNDA2bPns04d11dHRwcHAz+Vt8zTgb+uLg4ALpvhmvA1VeI2Tzy169fh7+/Pz777DMkJiYCMFTFiQpP/w7/85//IDY2lqEkt7e3Q61WIzY2FiEhIQgJCcHSpUsNog+EgK9cuRIDBgygzqt//fv378eUKVMwZMgQqv9c9h795yaBH0OHDkVdXZ2BX7y6uppBiM3MzBAWFkbZfujt6N9cXFycwbdE3hti+Xr++eexZs0avPLKK/jss8/g5+eHuXPnsirFdIWN5EWQPnR2dqKqqgrDhg3D1KlT8fHHHyMtLQ0jR47EQw89ZBAGLioqQlhYGObPn0/5K8m8YmZmBplMhpSUFIMNn7RaLVUtoF+/fhg9ejQOHz6M9PR0JCcnY9asWUhJScGyZctYIzT6hBgABg8ebHCfysrK4O3tjTFjxiAvL4+ag2praynBAtCNV1FRUay2BSIeAMDs2bOxb98+VFRUoLOzE6+//jp27txp0Mfy8nJK/R00aBBu3bplIAiVl5dTpNnMzAxJSUk4ffo0o41CoYCvry9GjBgBrVaLs2fPori4GN7e3gzRKzIykjVfhE6IiY2uuLiYWoyQaAUAztKjDQ0NsLW1RWJiIlJTU6mSjg8//DClzl6+fBnBwcGwsrLCwIED8eKLL2Lp0qWsz66xsRGdnZ3UvZfJZFi8eDF27NjBaHf16lU8+eSTOHDgAOM49O9DaMORwsJCTkLMl4T5n//8B8nJyWhvb2eozFFRUXB0dORMdK2oqKBEu5kzZ1I19B999FEkJSWxeqXphNjX19eAEGs0GjQ2Nhq8732F+5oQk13q9GFra2ugnl27do21jIe+31e/agWg83hu3LgRe/fuNfCgXbt2DX5+fmhubkZUVBQAbkW5tLQUYWFhOHv2LGbMmMFKHm/duoVx48Zh6dKlcHBwgLe3N7766isAYITVOjo60NraSq26AV0FBxMTEwMVhh5yIpg1axZefvllRgispqYGFhYW2Lx5M4yMjGBiYoL33nuPNdxfWFhIETiCgIAAPProo4x739HRgVu3blGDIbk/586dMwi/FRYWMsJagG6HOTs7O8ZEyqbicVkmvvjiCyxbtgwWFhYwNjbGhAkTqJ1/COhkzMfHh/p/toGkoaEB8fHx8PT0hLGxMQDdBKO/I5C+ZYIr07e8vBxDhgzB5s2bKS88n0Lcv39/5ObmYuDAgWhoaMDZs2cZ4UV98kqgT4jJwi8mJoaaLLlW7IQ8ExC/OH3gJgkddNja2jL8+Y2NjTAxMWF8s6GhoZg8eTLjGSiVSjg5OTEmsODgYIMFhVqthlwux/PPPw+ZTIaoqCjk5+cbfPvHjx9HfHw8nnvuOUb/2UBC7BLEwcjICCkpKTh16hTj5/oKMaBbxNEjKd3d3QZkLzY2FpcuXWIsgJuammBsbEyNy7Nnz6Y8uZaWlvjnP/8Jf39/bNmyxaB/+oQ7ISGB6kNVVRXkcjnMzc2xZMkS/PDDDzhw4ACSkpIwceJEHD16lHEsQjinTJmC7OxslJaWoqSkhCKQgM7jqk+I6+rqYGFhQYXzp06dip9++glpaWlUpZy3334bN2/eZN19k40Qx8fHG4xjCoUCPj4+FOEkFWbIYpUufjz//PPYsmWLgfpXWVlJkZxx48bhzJkzOHXqFOLi4jBq1Ch0dHQYzIFlZWXUPGRkZISEhASkpqZSv9cnhQAwcuRIg+MQhVsmk+Hpp5/Gtm3bWG0AAwYMYE3YpXuIAd27lJGRwfCpE3BZ2NRqNUWI09PTUVRUhMzMTIwfPx7z589HXV0dzp8/j/j4eOpvFi1ahPr6elYbSkVFBTw9PRn3Pjk5GdevX2fMLfn5+Zg2bRpMTEwY6jf9/eVLBm5tbYVSqWTMXwR8lgmtVouvvvoKjY2NOHDgAPLz8xn3e82aNVi5ciWrpYdcGwBMnDgRZ86cQVFREYqLi+Hs7My6aKFb0vz8/AwsImQhTR/7+xL3NSFm8w8DgJ2dHYNsabVanD9/njVZRj/8q1arDQhxaGgo/P39qR266ISzoKAAsbGx2Lx5M5566ikA3ArxjRs3MGbMGHR1dSE+Ph4qlcqAvJLQ0t///nfqpRgyZAjGjh3LWB2Slax+RimbbUGlUjE8aIBulT5p0iRGW5VKhYCAAEyZMoXRNigoyIC801eHBGvXrkVERASDvJaVlcHV1ZVKRiP3R6VSGWQynz9/HoMGDWL8zMPDA0OHDmUQJjafJxt5VavVUKlUWLx4MfWziIgIgw+1qqoKycnJOHLkCCOhku2YjY2NeOONNxg+x/DwcIMQnv4kFhgYiPz8fINVc3l5OXx8fBj33MfHh9XjSnx4dnZ2sLGxoXzLdBWbq4auk5MTY1AkJNfOzg4//vgjJyEmdXnphNjS0hKmpqYMsqvv0QN0EQx6G7aJHdDZd+jfoD6JAXTvtX4EgM0GZWVlBa1WywgH19bW4tVXX6UmbfLN62fjNzc3o6Gh4Y4ldNyvSEhIMCBn+goxoFMP6WH++vp6yjpDYG9vDy8vL0ata5JpTyCTyeDn50eNfTKZDCtWrMCWLVsMdjOjK8SAjkyRnBFCcAHd9zF58mT89NNPSElJwYgRI5CRkcEYn8nYbGlpiVmzZmHXrl0oLS1l2JMiIyMZpQzJvaD3f+TIkUhLS4NCoaDyOszNzbFx40asW7fO4BrYFhdxcXG4ePEiY+FACDGgU+7PnDkD4A9CTEd8fDzs7e0NKn/QSY6DgwPi4uKwbt06xMXFwcjICAsXLsSePXsYf0P3BwO6+Yqe+FZeXg4vLy/GXDVq1CicOnWKMR7S1emZM2fi/PnzOHr0qIGYExISwkqI6QoxAEyaNAn/93//h5ycHAMxjIsQNzU1wdramlLzt27dijFjxuD555/HuHHj8MILL+DcuXPUQgbQqdFvvvkm1q1bZ7DAoCvjBKamphg5ciSVZE4SnkNCQjB8+HBqcanVahnPns8yUVxcDF9fX8b8JXStgE7tNjMzo9697777joq0AbpF7PLly7FkyRID3zOdA9jZ2WHYsGGYN28exo0bh4kTJ7ImfrIRYrqwciftEsADSohtbGzQ0NBA3WiVSoWWlhaDCRvQqVh08sxlw4iNjaVWSXT1l4R5EhMTqePb29ujpaWFYfxvaWlBQ0MDZV3w9/dH//79DVZeJSUlBoMXoAvx0Ek2F/FhIw5cYXR98sw28AK68Nw333zDCEkS/xAd1tbWCA0NZdwf+qRDvxYABgpxWloaFdamw9PTk3FMNkLs5uaGGzduMFTE3NxchIaGMgaJ8PBw5ObmMgau5uZmODo6UsmJBPoDSUdHB9rb22FlZcUY3N3d3RlZyZ2dnWhsbGTccxKu1VfS2AbM8PBwXLx4kTFZtLa2oqGhgZpY6Sto+iBZX1/P+qz1Ez3p7WJjYwGwKxAtLS0wNTVlkBbAMLLCRYj1IxBshFh/Ucqmctvb2xu8L2yEWCaTQS6XM46n/764uLjg5s2bmDRpEiMZkvib75Q6cb9i8ODBOH/+PGNiY1v86G8Zz0aaAR3Zo0dcqqqqDBb0+vDz88OwYcMMyJq+R5nUPwUMx6ZXX30Vn3/+OYKDg2FjY4OYmBhGWJ/ug50yZQp+/vlnA4XYxMQEcXFxDB+xPik3NzfH+vXr8fnnnzPetYCAACQnJxskpSmVSoOImIODAzw8PBgLBzohTk5OplRaeoUFOqZMmcJQNbu7uw0sTaR2LkleHj9+PE6fPk0tONvb21FbW8t4PvqEmH7fCLy9veHg4MCo2EEUYkDnk54zZw4OHDhgMCeEhoYaCBBardaAEI8aNQqmpqb48ssvWcd2Ng8xPfk+MTERO3bsoGyBK1asQHd3N06dOoVhw4Yx/m706NGws7OjbAMEbOM7oFPfSQSivLwcNjY2sLOzw9ChQyllv66uDv369aOuydPTEyqVirVMZUFBAWtCHaB7V9RqNWvC++HDhzFp0iQMGzYMb731FkaPHm1gr5w3bx6srKwMqpPoX9uLL74IDw8PvPTSS5g4cSL27t1rkJhI5yJWVlawtrZmzLF3suQa8AAQYnrJNQISHicvTk1NDVxcXAzUVMCQELNZJgBQyiWdRGZmZuLTTz81IHxGRkawt7dnqATXr1+Ht7c3lfgTHR2NoKAgA0JMHxTo0CfEXCSXzTrA5otma8s28AK6Ac7GxoahMOqrHgT6dhGlUmnQztzcHBs2bGCQkZs3b6K1tZXVA6XvOa6trTW4dlKzmb5yz83NpSpbENjZ2cHV1ZUxkeiX7iPQV4gJAdN/j4yMjODn50cRU5JJSywVBM8//7zgoAIA/fv3h5GREcNnVl5eDnd3dwOy5unpiZKSEoqMiFWI2XzY9Gsg0FeHCeRyOYNgsy3k9C0TxAqhDzZCrF8Rhs0GxRbNIdfKR4jpkybdxkL3t0kQDw8PD1hZWTEmP30iCugiH0qlkiJTXIQ4NjaWYa24deuWqEly4cKF2Lp1K2Oxqx9tINVWOjs7DQixu7s75dEHgJSUFEb5Tnr7qKgoNDU14ejRowYLwcTERANCrD8GPvroo5g6darBNTzxxBMGiVVcC0l92wS9f/3790dLSwsqKys5CfH48eNx7NgxauyoqamBlZUVw3Ywc+ZMZGRkUOOyXC5HZGQkpSxXVFTA1dWVITqEhYVBqVRS8x+beALolHK6vUR/7lu0aBGWLVvGUCwB3Vjf0dHBGH/a29thbGzMGHNlMhnWr1+Pxx9/3KC2OFdiLX2RPWHCBAA6Yg3oFjs7duzAlStXDMYnmUyGN998Ex9//DGj2gLftaelpaGtrQ3Xrl2jIgVE+ddqtQbfh4mJCTw9PVntdNnZ2ZRlUx9GRkaceyP8+uuvGDduHADd4ueDDz4wKFIgk8nw3nvvYcOGDRRfIJyJfh+io6Oxf/9+BAYGIi4uDrNnz8a0adMY44L+WKwvwtzJkmvAA0CI2dRcgDmBsk3+9HZiFOIJEybgn//8J2JiYqiXYtWqVXBzc6M+HDr0J/l9+/YhIiICbm5uKCoqgpmZGby8vAx8kfSQFR2BgYEM8sw1mTg4ODCIeHt7OzQaDStx6NevH7q7uynlt6amhvWYgE5hpB+XqzyV/uYIXCQoJCSEoWSnpaUhISGBddEiRHAAHdF96qmnGIReoVAw1BuC0aNHM8I5YgmxvpeWDnrCA5c1YNy4cTh37hxD+eVSEBYsWIC33nqLasvVztvbG5aWltTgzkdgiZcPYL+HISEhuHTpEuM8XJ5k/cQ0toWPvkLMdV/031m2Eon63ylXO9I3MvhrtVpWopuZmYmJEycyvimJEPcegwcPZtiI2L57ExMTRjkrtncG0Nka9C0T+uSaDXFxcXB0dGR4f/XJqLW1NVxcXFBaWsoavaIjJSUFJ06cQHd3N7RaLUPpJGXcKioqqAgLQUJCAoMQc4kHbBg6dCiUSiWDJHB9N0SZB/5IECT9k8lkVG4DvcoBHf7+/jAxMaGSxdhscAAMfkYvX0f3DxMYGxsjKiqKssewKcTAH1U/AJ06TaKtBG5ubnj11VcNhAWZTGZgm9BoNKwbaA0YMAAfffSRwTG4bASNjY0MQqxQKBhzp5mZGecYkZiYCH9/f0ZOB9e4TRLlU1NTqfrogG5RZmFhgdLSUlbrGJePODs7G9HR0az9Atj3HaipqUF5ebmBes6GoKAgjBs3jspnIkSfbb4mWLp0KZ588knGBh/6845+Yp1EiHsBsnMPl5oLMCdQvtqi+ioW1zHNzc2xcOFCihiSQSstLY2TgNBLdG3ZsoVSBMgKnM1rTN8ml46YmBj88ssvVAiPTYEBdAoIPSxJFEO2F5ckUxFiykVeyfXQSQsXeWBTiNn6qX88emkdfegvLtiep0wmw+rVq9HU1ESt0LkG+MGDBzMUKC5CTJ41sb5wETCAWSOSq1KBra0trKysGCt1rgXQSy+9xCg5xzapZGdn4/PPP4e/vz/VjkshNjY2hr29PeOd1O+jjY0N9bf0RZJQkl53dzdnoiO96gmfZYKepEdqeuv3Ta1WM9Q/LoWY/r6Q69Dfitnd3R2hoaEG6gVb1EWCMPR9xFzffXBwMBXuJiUu2dqUlJRQ3zGbwsqFZ555Bv/3f/9H/ZuNVISEhCA/P1+QEPv4+MDR0RFZWVlUwjFdLHn22Wfx+eefG3wfUVFRuHHjBjWu9qT/RkZGGDNmDGPBzmdly8zMhFarRUVFBZycnBjqXnx8PNLT0w18zgQymQxDhgyhrBVcaqY+xo4dixMnTkCr1VL+YH3Q605zEWJSU1ir1eLWrVuwsbHhFLj0ERISwshr0bdLCMHGxgZdXV0G9eObmpoYY7w+kRbC3LlzGbYdrmsHgOHDh+Ps2bMMQgz8ESFhe3fpYz1BR0cHcnNzeYmts7OzQT4M8UKz+Y7Z8PLLL+O///0vioqKOOctfTz88MM4dOgQNW7r84bAwEDGwoZEQu8U7ktCfOrUKbz55puclgmAqRDzTXT6oViuSZaAEDmyiQO9RBgddAXt6tWrSEpKonxYBB4eHoyaqU1NTeju7mYlXV5eXnj55ZepEihcqol+fWMuawUB3QLCV3KKTmA7OjqgVqtZFwJshJhLFayrq6NIUHNzM2udaMCQEHORcRMTE8Y95Rrgo6KiqBrOgI4Q6xMmQKcGeHt7U6SJLZRPQJ/ouYgfoHuOpH/d3d2cCyCAWVyebWB1dnamiB1JFOIixICOoNK/CbZ7SHYfIuc9d+6cgQIGMJ9JXV0drK2tDUJtLi4uyMvLo/rNRYAsLCxgampKTU5sCw9jY2M4OjpSg7pWq+WsLe7o6EgtWPkWw4GBgQxCLPStSOBGVFQUww/K9d0HBwdTqjzbhA/o3gcfHx+qnRgPMcHYsWORkZEBtVqN5uZmdHV1GbwjRF28ceMGa1a+/vGOHz/OSvwCAwMZFgsCU1NTxMTEUAsEsQo3wahRo6gE7ra2NrS0tLB+04TMl5WVMfzDBPHx8Thw4ADs7Ow4iWZSUhKDEHORNzoCAgLQr18/XL16lVUhBsQRYkdHR1hZWUGhUHBaBbng6+vLmDt7SohlMhmrSsw1pohFSkoK9W4BhgmHdJCoSl5eHmPTLHLv2BaV+huOALpKVz4+Pry8xcXFxcAycfbsWQO/MB98fX2xfPlyvPjiiygoKBD8dgDdN+Lk5IT09HS0trZCq9Uy5tqkpCScOnWK4gF5eXkGSZR9ifuSEBMDPVfZNYBZaaKlpYVXSaYrxFyWCQJCDIVW/XRCzLXCj4uLw4ULF6h2hBxxhSHi4+OpQYBrkoiNjcW1a9coZYyPIAFMHzGfZYJOnElYni35iNTbJS84HwkyNjamEtFIdi8b9NVkPpJDL1nGtcmCl5cXNBoNlVTR2trKubCih2/5FOIBAwZQJJsrxEnOTSpmqFQq2NjYsJJxQDfhked98+ZNzhV5ZGQkRUb4nrednR3DRsS1+HF3d6eI586dOzF79myDNnRbApcliX78iooKwQUXIdhcCw93d3eKKLS0tMDc3JxV3XB3d8cHH3yA5ORk5OfniybEXBEFCcIICgrCjRs3oNFo0NbWhtbWVtb3MDg4mFL2uGxfADP5rbq6WnSijY2NDeLj43Hy5ElqjNYfT8PCwpCZmYn6+npBlYv4iPmUPjYkJCRQFpJbt271SPUaPHgwlVRLvlOuCF9cXBzOnz/PSogjIiJQX19P5a2wgRBiovaKUf2APxYKXPdl0KBByM7ORldXF+9xw8PDcfXqVVGLEzro4yjQc0IM6GwTdNVUo9Ggu7u7x8ehw9zcHFOmTMHBgwepSDbXu0uIrz4hJtVYKisrDQhxYGAgcnJysGHDBiq6nJ6ezipa0KGvEHd2duLYsWPUxlpiMX/+fDg4OOCjjz7ifa/omDVrFjZv3ozi4mJGdRhAF/lub2/HxYsXUVJSApVKxZpH1Fe4LwmxqakpOjs7BT3EhBDzER5ra2tKSQC4LRMEhJzxDeakHZnguQiSXC7HuHHjqBAfvQYkG9zc3CgSxxXus7S0xIABA6hddnqiEIu1TPARUhsbG5iamlLhQq7FADkmOTefMk8PqZOdh7iIFZ0Qc1VckMlkSEpKoryGXJYJQBeiIqt9tlA+QUhICFpaWqiPmqt/9IFcKKOWfi1KpZKzrbe3N6XK365CTNrV19ejra0NarWadYCiK8T6YUYCerixrKyM14NNX0By3eeIiAgsW7YMDQ0NvIsTegb4L7/8wnmdAQEBUCgU1Dso1SDuPczNzeHr64vCwkJqvGMjcWIUYoBZHq0nlgPgjwx+ruPHxsbi9OnT8Pf3FwyJx8bGoqysDFevXhVNFgEdqSHlJ3uqELu4uMDe3h6FhYWcggIB8RGzEWJzc3O88cYbWLp0Keffk00viouLRVsmAFC2DrYav4BubHd0dEROTg7q6+s5n194eDhycnIYJdfEgC4WADpCrF8JRwj6CjERZfh8sWJA6kxXVlbC2dmZ05JgaWmJyMhIREZGMvoeHh6OgoIC5OfnG1hdCFn+8MMPsWnTJlRVVeHrr7/GxIkTefuk7yE+efIkPD09e0w+ZTIZnnnmGWg0GkYCOx/mz5+PsrIyLFmyxIBEGxkZYd68edi2bRuefvppvPrqq5xR977AfUmITUxM0NHRITqpTr9gNx1GRkawtramwrVClgmSACSUgEMnDHxq3NChQ6lQu5ChnE6I+UIxpKg4IKwQ0wkxX6hfLCEGmLYJvgGdfm61Ws0ZqjI3N4e5uTkaGxupVSbXR+Pr64sbN26gq6sLTU1NnARs0aJF2LhxIwB+Qkw3/fORMCMjI8rTx3cfvb29qexivuMBOkJMBn0+Mk4ypru7u3mvmSjEXV1dnMlywB9RA9KGbYLw8PCgiD3fd7h//36MHj0a9fX1vJEaYnMg18p2X9atW4fY2Fjk5eXxfqehoaE4cOAA5s6di9zcXM531dLSEuPHj8fBgwcBiA8ZS2AHUXX5vnlfX19UVVVRGwlwtSOltYi/tCeEODk5Genp6ZxE1NvbG2FhYQb11tlAEsR++umnHhHi8PBwXLlyBV1dXbzEnwukgoQYQpyRkcEpkCxevJixiQTXMTIzM1FRUSH6/U9ISEBRURGysrI4lcLY2FgcOnQIbm5unAuPAQMGICcnp8eWCX1CzJVUxwf90mtC47FYDB48GLW1tfjtt98E7+f+/fup8YfA0tISwcHBOHPmjME9sbS0xKFDh7B161b89ttvWLduHSZMmCCo9Do7OzPI/+7du/Hoo4/28Mp0IB5y/QpOXDA3N8f27duh1Wrx+OOPG/yelNfz9PTEwoULe9UnsbgvCbGpqSlliOciMvSXnY8QA8xseLGWCXo2Kl87gJ9oBgYGUiZ5ISXBwcEBra2taG9v581cpmc5i1GI6+vrGeE5oesRQ4jLy8vR2dmJ+vp6zmPSqws0NTXx3neywCgrK+MNrRFC3NDQABsbG86BeNCgQVAqlWhubuYlxHSVls9DDPzhTeZTiMeOHYvS0lKsWbNGMBpB36CD79xE6WhsbISVlRXnNdvZ2aG+vh719fWwsbHhVC6IQsxVsQLQKX1FRUXQarW85DQhIQGOjo6oq6vjJc5i73NYWBiuXbsmOHnFx8fD29ublxADYNTN5lskSBBGWFgYcnNzeSNNpqam8PX1RXFxMS9RJElT9fX1jF3exCAgIAAtLS24fPky5xh5/PhxvPzyy6KOFxsbi5KSElYllAtyuRxyuRwXL16EpaVlj/oP/LH7JZ/9CtDd84qKCmRnZ/eIUNIRFRWF7OzsHlkmzMzMMHjwYFhaWnJ+M4MGDcIPP/zAe0wSCegpIZbL5dBoNJTdsbW1tceEWL+U6e36hwmMjIwwadIk/OMf/0BERARvW0tLS4PcCwDUJmJsCm5MTAzGjRuHmpoa7NmzB4sWLRLsEz2BX6lUIjU1lbXsnxjIZDKGxUMMfH19ceLECYP6zYDuWaampuKrr766bXVeCPclITY2NkZHRwev4kRXKYUIMd1eIaQQE7JAtnjkAl0h5hvU3N3dKeIuNPjJZDLY29tTLzbXNcXFxeHcuXNIS0sTbZloaGhAv379OMNOdM+oWIW4trYW9vb2nASNbpngS6oj5y8vL+dVSgHdtZNEBT5yQ68dzGep8fX1pYia0LnJ4oZvYPX29sbHH3+MK1euCL5r9HeD79y2trbo6OhAeXk57zWTyhBcFQAI6ISY63iE8KtUKsFFJHnH+AgxXfERsqZcu3ZN8N4BuglPo9Hwvqv0TV/6SiF6UEFXiPner6CgIOTk5ECtVnOOTZ6enmhoaEBRUVGP1GHgD2/t//73vx4rs2yYNGkSAJ3ftieIiIjAsWPHetx/QEd6Ll26JKgQm5iYICIiAqWlpaIVO31ERUXh1O+AP5AAACAASURBVKlTaG1t5T2XPr766itkZmZy/n7QoEGoqKjAwIEDOdv4+PigtrYW2dnZPSJZMpmM8e32xkMcFBRksE1yT66fD0888QQ6OjowefLkXv39ypUrcfr0aU7RwsjIiOIKYvz13t7eVERv3759GD9+vOD4eTfh4+NzW95tsbgvCbEYDzH9Y+lLQkyS8IQUYv2kOq5JmWxb29nZyaskE8jlcly/fp2XmNna2iI2NhZff/21oGWCZO7zqZqAjuwVFBRAq9UKlqfy8PBAZWWl4ADj5OREGf35kuoA3aS0Z88eQdLi6uqKyZMn47///a9gxQAPDw9UVVVxVpkAdINNXV0d5V3mO3dAQACuX7/Oa/8gfbx165bgu+bo6Iimpia0t7fzvm8ymQxubm7Iz8/nfdbkvEJZ+yRqwPfuyGQyaktvIaWbToj5Fh50rzbXfQ4NDaUUYiE1h0wUfO8BsSF1dXXxLrAlCCM0NBSFhYWorq7mHceCg4Nx8uRJ1o1mCIyMjBAYGIjTp0/3auequLg4KBSKPslYj4iIQHl5ueiSYARRUVE4evRor0h5cHAwysvLcf36dUGSNnjwYHh5efW4fwTh4eFQKBS8z4MNZmZmvONNaGgo+vXrR238wAYjIyNERkbCwsKix+osfXON3niIIyIicOXKFWoHN7YtrnuLoKAg3Lx5U9CuwgULCwvW2tF0bN26lbGxCR9cXFzQ1NSElpYW7Nq1C4899liv+vVXx31JiOkeYq4Jlq4Q8xEegFlpgo9k09tyJRIR6Nch5gshyuVyUaSUHLekpEQwtPvBBx+gqKhIUCEmipuQOu3s7Aw7OzscOXJE0D9NLBN8CXWkHXlGQuRw6NChyMnJEaXikaRCoXtEFFM+hdjY2Bienp5UUhjfud3c3FBdXS2omLq6ukKpVAouAsgOQzdu3ICpqSlraI1+7tzcXN5nTTYaEfJkilGIgT9KzYnx3ffEMiFEiPPz80WFN4kfn+8dJJEccjxp2+bew8PDA01NTSgoKOBNzgoKCsLx48cFqwoEBQXh2LFjPao+QDB69GgYGxsLZt/fSURERKCwsLBXWfMmJiYICwvDjz/+KGjVWL58OaPUZk9haWmJN954AytWrOj1MdhgamqKwsJCwdJeW7duZWzVLRaurq5UtLQ3CrGLiwvCwsKwadMmXL16FV9//XWvVXY23Onwf2BgoOhKD0ZGRggODsaOHTvQ3d3da6L+V8d9OboThZiv7BrxzJCd2IQ8xA0NDdBoNNBqtbwrTQsLC3R1daGmpkbQQ9zY2Ij29nZBskk2dRCjEDs4OKCkpIRXISbt6uvrObdtJggODsb169cFVR0AWL16NbZs2SJIsok6z+clpLcD+JPqAN3HX1JSIkhKAd1uPlVVVYIKMSHEfB5i4A/1UsgyQXb+U6lUvATR0tISxsbGqKqqElQkXV1dUVBQIPi8XVxckJ2dzZuUGRwcjEuXLuHy5cu8qptYQhwZGYnLly8LLiIdHBxw69YtaLVaTlJPCHFbWxtv6SNHR0eYm5ujoKBANCHW3/pV/3g1NTWiFGcJ/JDJZAgMDBRMJgoJCUFra6sg0QsODsaVK1d65Y0dMGAAFAqF4Jh2J0E2SoiLi+vV38fExECj0SAoKIi3nUwmu23ytXjxYoM6+XcLxG/dU9AtZb1JqgOADRs2YM+ePZgyZQrmz5/PWmLyfkFsbCzeeecdPP7443ecrP9ZcV8SYhMTE0HLhKWlJWxsbKBUKgUJsZ2dHZqamqjQL9/LIpPJYGNjg7KyMl6SYmpqCnd3dxQVFaGzs5OX+JDQs1iFWMgyAehITWNjI2fpMQKSFJGTkyM4eQwcOBBlZWWiLBOEEPOFC8nW1Z2dnWhvb+d9RhYWFjAzM0NlZaUgISYTqJBCTHzRPSHEfOcmO/+JUS+tra1RXV0tSIhdXFxQWFgoeM2Ojo7Izc0VLOP20EMPYfv27aIVYr73LDo6WjQhvnnzJu+3ZW1tDXNzc5SWlsLW1pb3GwwKCsLZs2cFQ8lWVlbIyMjg/aYcHBzQ0NCA+vp6yT/cBwgKCkJjYyMvIQ4KCoKFhQXGjx/PeyySkHQvVd7bgb29PdLT0zFt2rRe/f2TTz6JV155RSoFyAF9y0RvCLG7uzt++ukn7N+/Hy+88EKPd6b7K2HRokVYsGABFixYcK+7cs9wXxJiohALhabJ7ixiFWKh4xHY2tpCqVQKrmp9fX1x4cIFyOVy3gmebCUqZEUAxFsm+vXrB41Gg+rqasG23t7euHjxoiDBIGqakELs7u5OeVX5junp6YmbN29S911o1erg4EARJj6QrGahe+nk5ISamhpBQkzUS1K5gg+EQPIdD9CRtcrKSlEKcVFRkShC3NDQILgBwKBBg6jjcoGUXRNaTIWEhEChUAgSewcHBxQVFQk+Dw8PD1y7dk3wWoOCgpCbmyuKKAjVVTUxMYG1tTUUCoXgIlOCMEjiGZ+qaWRkhKKiIowaNYr3WMOHD8cnn3zylw7venl59VqNCwgIwGuvvfbAqnlCoFeS6i0hBnRjJ6nqcD/Dz88P77//vuDcdD/jviTExEPMZ5kA/vAuCpVkIb5gMZnr5Lj0/3LBz88PmZmZgsprcHAw0tPTYW1tLViUWi6X48aNG4KTt0wmg62tLecuYnR4e3sjKytLUJ0m5Y9KSkp4j2lubg4nJydcunSJ99qdnJygVqsFLQYE5NqFSCm5h0OGDOFt5+TkJCqCINYyQT+30CRmbW2NW7duibZMiCHEgHDGMUnU4COK5HsQskyYmprCx8cHubm5vN+hk5MTurq6BN8vDw8P5OXlCd5jQpB6UsifD/b29lAoFJJC3AeYM2cO8vPzBb3YYkieTCbDnDlz7mvVTkLvQa/LfzuEWMKDg/uWEAtZJoA/6tyKqTLR0NAgmC1PQM4p9AH6+fkhNTVVMMvY29sbRUVFovxuhIiKqZdKvNBCNTC9vLzQ1tYmantRR0dHQeUQ0JHIzMxM3msnpc+ysrJEL0Sam5tFKXkKhYLXOwroiJpCoYCFhQVneRsAVN1UjUYjGEEgW1YLwcrKShQhdnFxQVFRkeDzJkq80DOMiYnBrl27EB0dzdnGwsIC3d3dUCqVoqIL169f570O0je+pEBAR4hzc3MFn++4ceOwdu1ayqN5u3BwcIBCoZA8xH0EqVKHhLuBvrBMSHiwcN8S4paWFgD8kyzZTKKtrY2XFJLkKrGJNR0dHaL6GRYWhvLyct46jOT8AAQVNOCPULcYQiw21EZCz2KSVwgRFiItRIEUIvnR0dH4/fffRSvEAEQ9IzGqEqngIKQM+vj4oKSkRNS2nj0hxF1dXaIIsUajEXzeZBtNIUJsbGyM4cOHC/rkra2tUVZWJooQA/wkiJxL6Fo9PDyQnZ0tuIC0srLCvHnz+iyUbGdnJ5gTIEGChD8X6CVLNRpNj8uuSXjwwC17/YVhamqKlpYWwcmabPwgpBCTclRiktoAHSkVs2vRkCFDMHr0aMEtQomnR4y3hySriCkg3tXVJdgGAEaMGAEAosobEUuAEOEkxF2I3AQEBODAgQOianWKJeNiQZ61EMEmqrBGoxE85nPPPYfLly8LtiPHFLO5BADBHaQcHR3x+++/9ypbmw22trairDnkOQsp56dPnxbcoMDT0xO1tbV9splCT2Bvb49Lly49ED5CCRLuF5iamsLBwQFKpVJSiCWIwn1JiEl4W4hAkooM7e3tvB+Lq6srqqurBXcFIvjss89EKYGmpqbYsWOHYDsCUiCcD0R5JYogH1pbW0Wd18vLCzdu3OC1DRCQes1CIIRZyFrh5uaGoqIiUQXRiZLbV6FtEl0Qq+q2tbUJtnnkkUfwyCOPCLYj1yBEiMkCSOg+AujR1rJCIP0SWnQS8ipExIWKzAN/9L83O3vdDiQPsQQJf02QxDqJEEsQg/uSEBOVUkiVksvlOHPmDCwtLXnDq87OzlCpVKiurhbMSqefvy/x0UcfifLwmpmZITMzUxRpGDNmDLUDnxDEkGFAR1rEhKbCwsIQHh4uSknu6OgQRXLJzn99ff/FLEQA9GlIjqjTYsrszZkz565n2pPFpliS2JvdxPRBdhW729dqZ2eHrq4uiRBLkPAXA/ERS4RYghjcl4SYkCwxhLi8vFwwqczU1BR2dna4dOkSVZbqbuPxxx8X3VYMcQaAL774orfd4cSmTZtEKarTpk0TVX+TXIsYD3FsbCyysrKEO9lDiCHY27dv7/XWqGwgCxAxg/gnn3zSZ+cVi87OTgDC1pikpCTMmjWrT/y8/fr1w7Fjx/p0tygxICq4RIglSPhrgVSa6M3WzRIePNyXhJhMvmJKlJWXl4tSH11dXZGZmYn169f3SR/vV/T11rZEWRTjC541axZmzZrVp+f/8MMPRXlH+3oXJ7H+7nsFsSq8t7c3Pv300z47790mw4BEiCVI+KuCbN8sVHFKggTgPiXEBEJhfrlcjoaGBlE2CKKEifGySug7EGX4bidSETzxxBP37Lx32yvbE0RFReHixYv3uht3BRIhliDhrwl3d3ekpaWhoaFBVJ6FhAcb9y0h3r17N+/2oEDPynRNnz4dZmZmUhH4ewBbW1skJCTc627cVbi5uWH+/Pn3uhucWLlyJV5//fV73Y27gp6UPZQgQcKfB8QyIbSJkAQJACDTik2hvw+h1Wrh5eWFpKQk7N279153R4IECX9CaLVaqFQqURVmJEiQ8OdBXl4e/va3v0GhUCAnJ0cwX0jCg437cmMOsSBeY5IgJEGCBAn6kMlkEhmWIOEvCF9fXxQWFqK7u1siwxIE8UATYoKampp73QUJEiRIkCBBQh+ClIcUu3ushAcb962HWCxiY2Ol+oQSJEiQIEHCfYjRo0ejoaHhXndDwl8AD7SHGNCtHLVaLbUrmQQJEiRIkCDh/oBWq0VHR4c0x0sQxANPiCVIkCBBggQJEiQ82JA8xBIkSJAgQYIECRIeaEiEWIIECRIkSJAgQcIDDYkQS5AgQYIECRIkSHigIRFiCRIkSJAgQYIECQ80JEIsQYIECRIkSJAg4YGGRIglSJAgQYIECRIkPNCQCLEECRIkSJAgQYKEBxoSIZYgQYIECRIkSJDwQEMixBIkSJAgQYIECRIeaEiEWIIECRIkSJAgQcIDDYkQS5AgQYIECRIkSHigIRFiCRIkSJAgQYIECQ80JEIsQYIECRIkSJAg4YGGRIglSJAgQYIECRIkPNCQCLEECRIkSJAgQYKEBxoSIZYgQQ+enp4oKSm5192QIEGCBAkS+hy1tbUYMmQI0tLS7nVX/lSQCLEECTTU19cDAMrLy+9xTyRIkCBBgoS+x5kzZ6BQKPD111/fk/MXFBSgqanpnpybDxIhltAraLVaHDlyBJ2dnYJtq6ursX379jvfqT7A9evXAehW0BKEodVqcfjwYXR1dd3rrnBixIgR2Lp1q2C7P+MALUHCXx2ffPIJ9uzZc6+70Wu0tLRApVLd6270Kc6fP4+nn34aqamp0Gq1d+283d3dqK2txahRo7Bp06a7dl6xkAixhF6huLgYCxcuxM8//yzY9ttvv8WKFStw5cqVu9Cz20NjYyMAQKlU8rbbsWMHMjIy7kaX/tS4cOECnn32Wbz//vvYt29fnxyzvLwc0dHR1LO4XRQVFeFf//oXli1bhoKCAtY2Wq0WoaGhuHbtWp+cU4IECbp5Yv369XjzzTfR2tp6r7vTKzz99NOIjY1FVVXVve5KnyEjIwNTp06FTCa7q9e1YcMGREREQCaT/SntGhIhltAr3LhxAwBEkdzjx48jLi4Oe/fuvdPdum0QElZdXc3b7o033sD06dPxzTffICMjA4WFhXeje3cVSqVS8PnW1NQAADZv3oxly5ZRCvvtIDMzE0qlsk983B0dHQCAmJgY7Nq1i5O0V1RUAAAqKytv+5wS/nrYunUr/vGPf9x3SuC9xi+//IInn3wSSUlJOHz48L3uTo+h1WqRl5eHUaNG4Z133rnX3ekTqNVqFBcXIzIyEmFhYcjLy+v1sdLS0kRF3wiOHTuG+fPn43//+x9ycnL+dJFFiRDfJZSWlt5Xg21paSk8PT1x5coV7Nmzh1N5u3HjBkpKSrB+/XocOHCAIii9QXh4+G0Nqjdv3sS8efN4lUcSNudTiOkhpjfffBPz58/HyJEje92vPysWLVqECRMm8LZpaWmh/r+9vR3Dhg277RAcIaVlZWW87W7cuIHx48cjPz+fs01zczPs7OywY8cObNiwgVrI6YOc6+bNm73stYS7iZycHKxatQrt7e19crz169fj+++/R0JCAq5evdonx5QAnDt3DsnJyXj88cexbds27NixgzFm/NlRV1eHjo4O/Otf/8LBgwcxcuRIHDt27F53q1fYvn070tPTkZ6ejqioKJibmyMwMBDFxcW9PubSpUuxatUq0cRWoVBgyZIliIyMhJOTU58IKH0JiRDfJSQnJ+OJJ564193oM5SWlmLKlCnIysrC0qVL8c0337C2++ijj/DYY48hMDAQnp6eyM7O7vU56+rq8OOPP/b678+fP4+TJ09y9hXQEeKAgABeQlxXVwcLCwuMGDECAG57gG9qakJwcDCOHz9+W8fpCcrKytDd3c3bpqioSPA4zc3N1P8fPHgQtra2lNpKR1NTEyZNmiTKp0sIsVBi44EDB3D16lVef3pzczP69esHAPDx8eEk2eQ6JEL818Du3buxdetWvPvuu7e9AKuuroZMJsPVq1fxwgsv4IcffuijXj7Y6OrqQkZGBhITE5GSkoLLly/jjTfewLZt2+5110SjoqICHh4ekMvlmDt3LsLCwrBkyZK/nH1Co9FgxYoV+Pvf/44TJ05g9OjRAICAgIBeE+KGhgaoVCrY2dmJuh8tLS1obm6Gi4sLACAyMhKXLl3q1bnvFB4oQpyXl3dPfUyXL1/mnHC1Wq3oEPH//vc/fPDBB73uR0NDAzIzMzl/r9VqoVQq8cMPP2Djxo2sbUpKSpCQkECprVzk5dKlS3jkkUcAAFFRUTh//nyv+kzIGx/5vHjxIlJSUrB48WLW36tUKgwePBjfffcd5zEaGxvRv39/XstEU1MTnJ2d8e2338Lf319UYiEfrl27hubmZvz73//mbafVaqHRaASPJzTAtbS0IDExEbt37+ZtZ2VlJXiu5uZmPProo/jyyy8RFxeHsLAwlJaWGrSrqqpCdnY2YmNjkZWVxUqaCfLz8xEbGyuY2KhSqTB+/HjekF9LSwt1HY6Ojqirq+O8DkAixH9GaLVa7N27l/HuX7hwAZs3b8ahQ4dw8eLF2zp+aWkpAgICIJPJMGbMGJw4ceJ2u/ynQ319Pd544w1cuHDhrp1ToVDA3t4ecrkcpqamyM/Px549e/D999/f1USunkC/X+Xl5fD09AQArFu3Dps2bcLjjz+Ojz766F50r9c4f/48wsLCUFVVhe+++w5jxowBAPTv37/XKu3vv/+OwYMHIyAgQJTVrLKyEq6urpDJZAB0hPjy5cu9OvedwgNDiLu7uzF27Fh8+umnd/3cbW1tsLCwwNy5czl9tKdPn8bQoUMFVTmVSoVFixbh888/52136dIlToK9cuVKTJs2jXNQOn/+PKKjo/HWW2/hvffeM/i9UqlEVlYWYmNjqZ+xnaurqwsKhQL9+/cHAEyYMAHvv/8+Kxl/+eWXsWDBAs7rIV5VPpK0f/9+dHV14cSJE6wKb01NDYYNG4aKigqGskmHWq2Gn58fr0Lc2toKS0tLAKD+a2pqyhq+nTFjhqB3uqKiAuPGjUNubi4v4X3uueeQkpLCe6zm5mYMHz6c9z0ifuf09HTeYxEiyRcOa2lpgaurKyZPngwAcHBwQENDg0E7ogy3tLTg22+/RUJCAusi6syZM/j9998xZswYTvJKoFKpkJycjKysLM4Bma4Q29vbU2X12K7Dz89P0KYhQTzeeecdPPXUU7d9nMzMTCxZsgQHDhwAoBvLCwsLMXz4cMyePRsnT568reMrFAr4+PgA0E3Szc3NyMrKuu1+/5nw/fffY+fOnZg9e/Zdu7bi4mIEBgZS/7ayskJycjJaW1t5F7F1dXX3JLl1165diIqKYggcdEJM8Nxzz+Hw4cN/WlKvD61Wiy1btmDOnDn45JNPsGLFCoSGhgLQEeLeKsS//vorRo8eDXd3d16Bg0ClUsHJyYn6d0xMjOAcRL+Gu4EHhhATQtXXK+S///3v+Nvf/sbbpqioCH5+fhg0aBDnaoxkXBYUFKCkpAQLFixgfck++eQTTJs2DRYWFrwh78ceewxDhw5l/R35O64PgZyXy2tbVVUFDw8PODk5Yf78+Xj55ZdRVlZmQJwaGhpgbW0NU1NTAMDIkSMxffp01mdw5swZXsuAWq2GhYUF74dXWlqKt956C6Ghoay+0pqaGri4uMDNzY2TQLW1tcHb2xs1NTWcRLCtrY0iwl988QX27NkDuVxOvWMEra2tSE9Px7///W/eZ1VRUQFfX1/4+PjwJucdO3ZMcPAiahnfql+pVMLW1lZw8UXIuf510UFXYAHAzs6OlRCr1WoEBgZi8eLF+PbbbwGwE/L8/HzMnDkTQUFBggpxTU0NgoKCMGTIEEydOpV10KT3z87ODmq1mlXRb25uRlxcHAoLC3mvV4J4HDp0CEePHr3t46Snp8PBwYHyblZUVMDW1hZ2dnaIj4/vddSJoKKiAl5eXgAAIyMjLF26FGvWrLntft9p7N69Gw899BBrREYfxcXFeOedd/DSSy/h4MGDd75z0M17RAwhkMlkmDp1Kn766SfOv3vnnXcwZswYUSSrJygpKeGMEGu1WmzcuBE1NTUMMl5eXg4PDw9GWycnJ5ibm/9lEnAPHjwIlUqF+fPnY+rUqYxFqoeHB7RarSh7HB1arRa//fYbRo0aBXd3d8a9UKvV+Mc//mEgaKhUKjg7O1P/jo+PR3V1teCcdvToUXh7e+P48ePQarX47LPP7pgP/YEhxM3NzXB1dUVWVhYuXLggONmKtVbs3r1bcNA/c+YMBg0ahICAAOTl5bGSI7VaDSMjIxw9ehSTJ0/G8ePHsWXLFoN2qampeOGFF2BpacmroBkbG3P+jpwrNzeX9ff6A6x+fxsbG2FnZwcA+OCDD/D666/DxsbGQFWtra2FXC5n/Cw+Pp5VTXZ0dOTsL6B7fn5+flCr1Zw+1ObmZtjY2CAoKIiVWDY1NcHW1hZyuZzz3mk0GlhbW8PGxoazDV0hDg4OxtChQ1nVx8rKSvj6+lKKFhfIQMFF5AnMzc0B6AYjhULB2ubWrVsAIHi+YcOGoaSkhNci0NzcDGdnZ+qYXG2IAgtwE+LGxkYEBwdj+fLlWLNmDZYsWcJKiCsqKhASEgK5XC74jdbW1sLR0RG7du0CwL7Ao/fPyMgItra2rAu95uZmuLm5ITExEWfOnOE9rwRxsLCwAHD76s6lS5ewbNkyXLx4EXFxcUhNTUVQUBAAYNCgQcjOzr6tZF195Wr69Om4cuUK1Gr1bfWbCxqN5ratexkZGVi7di1cXV3xxRdfCLYvLS2Fn5/fXbWE6CvEBAkJCbze0TNnzmDcuHHYvHlzn/Zn6NCheP3111l/V1paipaWFsyZM4dhwamoqDBQiAGd9/avspvp2bNnMXv2bGr+oMPIyAhz587tsRe/tLQUxsbG8Pf3h4eHB2Pxsm7dOnz11Vc4dOgQ42+USiXjOzM2NsaUKVN4F2hdXV1YunQpHn74YSxYsAABAQFYu3Ytr+3xdvDAEOKWlhY4ODjA3t4eU6dOxSuvvMLZNjMzE4GBgaIL9RNPDBcuXbqExMREREdHw8LCgnUAa21tRWhoKPbu3Yv6+nq8++67BtaCjo4OKBQKBAYGwsnJibdqBVHB2FROtVqNwYMHcxJihUKBRx55BLNnz4aDg4OBYtbY2AgbGxvGz1xcXAwIcV1dHRwcHBg/4yKjREXm+ihbWlpgY2OD/v3744UXXmBt19zcDCsrKwQHB7NWvSDWFblcjl9++YV1oCNtXFxcUF1dzerbbW1tpSZ7AjYiWFVVBTc3N4SHh/OGCBsaGmBvb4+QkBDOUGF3dzfa2trg5OSEkpISPPTQQ6xkVqVSwdramrHi1yfqSqUSfn5+mD9/Pj7++GPOfjU3N1P+sNTUVNb3hb44AHT3ge35qtVq2NjYwNjYGE899RRSUlJYlT1yz4SIOLlWR0dHyGQyJCYmslpx9BVsJycnVn84aZeQkMDrr5cgHmTRnJKSgtTU1F4fJysrCyNHjkRqaiomT56MlStXIiwsDIDOouPl5cU5lolBTU0NY0FuaWmJgICAO1ZKcfny5QgPD7+thUJ6ejoefvhhrF27FocPHxYk74QQh4eHQ61W3zaZE5M3Qc6pD75SX7W1tVCr1fjwww+xb98+wfKXPUVOTg7rz9PS0pCYmIiBAwcy+lZRUQF3d3eD9m5ubr3qm0ajwenTpwXbbdmypc/q9ufl5SE8PJzz94sXL0ZFRUWPqmdcvnwZkZGRAMBQiCsrK7Fv3z689tprBtYcfYUYAKZMmYIjR47wnsfZ2Rn//ve/sXr1akyfPh2PPPKIqHvYGzwwhJgoRbNmzcKMGTOQkZHBqUCR1Y5Q+R2iSnR2dvIObvX19VRiwbPPPsu6OiaEGNDZOmbOnIn8/HyGOltVVQUHBwdYWFjAycmJ1eeq1Wrx5ZdfAgBnm6amJkFCPHv2bPzrX/+Cm5ubQQZpY2MjbG1tGT9zcXExIDBchJjtvpMQCJu6CPxBdpcvX45ff/2VlXSRZxwcHMw6mWk0Gpibm0Mul2Pnzp2s5yF2CGdnZ1RWVuLZZ5/FsGHDGG30SSDA7k8lhI1MAFyqUENDA+zs7BAWFsZJiFUqFWxsbJCUlIRTp06hvr6ekxAnJyfj5MmTyMnJQWVlJQYOHMiYwNRqNaytrTH5/9u7Gn/NsAAAIABJREFU0ugorjN7u9W01Nq6W3trR/uGUEsIBAizi8UQHBJmjOMtjp1x7EnGHju2jxNsM463sT1Mgn2cE/sMhDmTyTkQx9iGiW0sL5jVYpcACSSEkNAutQRSo7XnR59X1PLeqxJqgQN1/6Euan1V77773e/7VqzAhx9+SP0Qjo6Owu12Izc3F3V1dfjhD3+ItWvXKrYbGBiQLA5sNhvTQxwcHCz8OycnB01NTQq1lqj4cXFxaG5uZr5Xo6Oj6O7uFiIQqamp1EmejBuChIQEqk+4v78fgYGBmDJlCnci+p//+R+sWrVK9xprwPe//3388Y9/hNvtxmOPPXZN+2hpaYHb7UZSUhL8/f3x1FNPITw8XMiSB4Bp06aNq0mOXCEGvONprGFkHt577z0hIrJnzx4MDQ1p9k/SUF1djaysLERHR2PmzJl49tlnme/K4OAgWltbkZCQAKPRiEWLFmHnzp2K7U6cOIH8/Hymz57g0qVLyMzMxOzZszFnzhxmhYH29nZER0cr/h4bG4uBgQGqoNPc3Iy4uDhER0fj9ttvH3Pteo/Hg7fffluxb/L9I8KLHPv27UNJSYlClCALdDmio6MV811DQ4Nq0vNLL72EtWvXcn3vLpcL69evx4YNGyR/v9YSg42NjUhISGD+bjabsWLFijFZjyorKzFlyhQA3uo9JKp88OBBlJSUYMGCBVRCLH/P8vLyUFdXx7xvu3btwvz582E0GvHQQw9hw4YNeOSRR8ZVKo6HW4YQu91uBAUF4ZlnnsHGjRtRUFDAVIIIifz222/xT//0T0w/ZltbG2JiYhAYGMi1L7hcLthsNgDsD63b7UZmZiYA7+rTarXCbDZLPk6dnZ3CgAoPD6d+UM6ePYt/+7d/g9PpRFxcHNWHRRRi1iq9oaFBeIHi4+MV4XlCWsSgKcSXLl1SKMl2u516rzo6OmCz2ZirbkJ2Fy5ciPT0dKp6SFQ+LQqxOMmLtk1UVBTeeOMN7Ny5UxEpoBFimkLc09MDu92OnJwcvPXWW9TwIeBdOFitVq5C3NLSAofDgeLiYsF/R/Owtbe3o6ysDE6nE++9956wqBOTxYGBAZjNZmRmZmJgYAD333+/4mPrdrvh7++PvLw87Nq1CwEBARgcHFSMJ7LI4N0HQDlmTCYTdcwQYmqxWDAwMMDshOhyuRAUFASz2QyAnS1N9kcQHx9PJbPknuTl5eHkyZPUyMrAwACee+45zJgxgzpJ6pDigQcewKJFi1BeXo6urq5r6jxYWVmJ/Px8IQoXGBiIL7/8UrJInT59uqbJvKqqChs2bFAsyOUKMQCkpaVxCfGlS5ewZcsWTV7GoaEhPP/883jxxRfR0dGB/v5+vPLKK/jBD34gOcZvfvMb/PznP9dEfJqamoRv9CuvvIKKigrmfNbc3IzIyEiBDP7gBz+glq/cvXs3Ojs7sXHjRm4i7b59++B0OvGHP/wBhYWFgmVJjvb2doUiCHgjqiyVuLW1VSDRS5cuHbO9o6KiAi+//LKitCaZc1iCy/79+zFz5kxkZ2ejuroaHo8Ho6OjaGtro5L6mJgYyRxUXV2NmTNn4sknn2Se28DAALZt24af//zn3K6eJ0+eRFpaGr766iuh5fWXX36JyZMnj7kihNvtRm9vr1DqjAU1IUCOyspKQXXOzs5GbW0t+vv7UVFRgeLiYmRlZaG9vV0yvmmE2GKxIC4ujumD37Fjh5CwTRAfH4/GxsYJSbS7ZQix3Ou4cuVKZv3StrY2rFixAr/97W/x8ccfM2vnknCK3EMjBwmJAxCULzncbjemTJkimawjIyMlhEH84Y6Li6MqhMePH8fSpUuxZcsWxMXFUTP5L1++jJycHPT29lLJaVdXlzBwMzMzFeTy0qVLipJctBC32+2W3HOArhAPDw/j0qVLmDNnDrOdo1jpI3YG1jZRUVEYHh5WHEesEBPICRnZJjIyEsePH8evfvUrhfeKpRDL7yVRfouLi4W/0Z49GR+JiYlwuVxUhaa5uRkxMTHIysoSlCXamCO+2n/913/F8ePHhQ+SWDEfHByEv78/Jk2ahDNnziApKUmx6BkYGIDFYkFpaSn27duHhQsXYuXKlYqJdCyEWKwQA/R7JrY43HXXXczScOQ6CVJSUqiThfy9z87OpkZoyD2xWq3o6+vD3LlzFYSosbERMTExePbZZ5lKkw4l/P394XQ6r6lVa2Njo1ABgkB+74uLi1FRUcGdIF9//XXceeedKC8vx09+8hPJb2KhgYBXjmpoaAgPPfQQXnrpJdx7772qNVhPnz6NoKAgNDU1CUTiRz/6ER555BGBGLW1tWHz5s04f/483n33Xe7+AO8CmRC1qKgolJWVMe+vPFRdWFiIuro6xUK/pqYGTz75JA4ePMjtynbs2DEUFxcjNzcX9957L95//33FvR8YGEBfX58w78mRlZWlSohnzZqFqqoqVcVajAMHDiAlJUWhvnd2diI2NpYaMW1ra0NfXx9SU1MRHh4Os9mM5uZmdHd3C4tzOeQR0YqKCixfvhxff/010/u8e/duZGZm4sEHH8SuXbuYqujJkycxc+ZMbN26Fa+88gpGR0dRXl6O2NhYPP7445rvBeC9n1FRUTAa+VRvypQpqKys1EwyGxoaBDsMqcn/5z//Gfv27cO0adMwadIkrF27VkL8WQuk6Oho6nze29uLpqYmwZpBEBQUhKCgIJ8nXQK3ECGWewkXLlzI9BO1t7dj3rx5QmIay59FwikOhwMNDQ3MSgIul0vw01mtVgwNDSmUBUKyxANXTjI7OzsFMpeUlIT//d//RU5OjmQ/vb29iI6OhslkQmxsLJU09/f3Izg4GJmZmYrOb263Gx6PR/gIZGVlKVRLQh7EiI6OVnxsiNoqBo0wdXd3w2azYfXq1cyi+OLnRwtXjY6Oor+/HxaLBQaDAYmJiVSSJyfE8jA7OWeSWbxkyRK4XC6JaqPVQ0wiA2FhYdizZw8WLFhAXVwRJd1oNCIuLg65ubmK59ba2oqYmBhJxjPtg0AWTWlpaaivrxdW3mIiPjg4KCirgYGBmDx5suI+kG3i4uLwxhtv4PHHH0dhYaHCZnPlyhVNhJh4iMWw2+2KyU5MYB9//HFm8o1c1Zs8eTLq6+sV76D8vS8tLcW2bduwfv16yXZDQ0PCPfnrX/+KBQsWKPzV8n3p0I5Zs2Zdk4+YldQkRmJiIgwGA7NbZlNTE/7zP/8TTz31FD744AOcOXNGeB9GR0epyb85OTk4duwYlSCUl5fj8uXLOHjwIOx2u2pL36NHj2L58uUYGRnBZ599JihrZWVlgl3pwIEDmDNnDl577TX813/9FzdJ0OPxoLW1VeJtnTFjBlMll78rZrMZU6dOVSjKZ86cwZw5c7BlyxZ89NFHTBtKbW2tkNRYWFiIvr4+RQdIYhdjETGWQiwm+gEBAUISpVZUVlYqlHfAu4Amirq85Obp06eRnZ0tRCEyMzNRXV2N5uZmqn8YUM5B1dXVKCoqwtatW/HWW29Rxw2ZAyIiIpCSksKsn33y5Enk5uaisLAQwcHBOHXqFKqrq/Haa6+hvr5eMTe8++67THGPRULliIyMhL+/v2ozJMD7zhBrC8Fjjz2GdevWob29HU6nE4B0fAN0hRigR5cBr7iXm5sLk8mk+G3u3LkoLy9XPdex4pYhxH19fZKVXnR0NPr6+qhklwyiN998E7GxsWhqaqJuV1dXh4SEBGRkZOChhx7C3LlzFaEmj8cj8dwaDAZERUUpXlia6igfKGJPbnp6Ourr69HT0yNRKMTHKigoULx0Ho9HIDFutxtPP/205MPX1dUFu92u+DiIQSPENNWWdk0WiwXDw8MSgkk+nvPmzUNNTQ1VcRErxLQVJSGpZBFD84qKLRMAsGjRIoU5n2wj7uRjtVolxE1cdo2ARu6IQgwAycnJQlMKOcRK+htvvIGioiKFEkv2RUL1KSkpXEJssVgQFhaGvXv3Ytq0aZJt5aouLWoxODgoKHFr165FdnY2VTWT74tV61erQix+zg6HA+3t7VTFhYwZgsDAQAQGBiqiAnIP8eTJkwF4k1bE79bAwIBwvdOnT8fatWsVEzbxXusYO5YsWYIPPvhgzD5IWtkrOQwGA9asWcPMPD9w4ACWL1+Oe+65B35+figuLha+eS6XS1IakoCUC6PlIuzZswfLli2D1WrFyy+/jC+++ILrHT169CgKCgowdepUbN68WYgYFRYWoq2tDRcuXBCsIdnZ2UhISFD1mPr7+0u+QSQZlLYYpSng06dPl6ioHo8HZ86cQXp6Oux2O9avX4/nn3+eevz6+nrhPTIYDJg9e7aiMkt7ezs3TK/FMgFcrSKiFZWVlSgrK4PL5ZKITiSiFBkZqZg7Tp06JSRpAkBubi4OHTrE9A8D3jlIPE+RUqQZGRkICAigWgBOnTqF3NxcAMCcOXOYiWEnT54UhK65c+fi66+/RnV1NTIzMzFt2jRJ2dJvv/0Wv//97/H6669TLT5qz0GMvLw8TbYJkrgtHn/5+fl44YUX8PbbbwtzcGFhIZqbm4W5hZZUB4D6TABp4p4cubm5E+IjvikJcV9fn2Lilqs7BoMBSUlJ1E4phBCvXLkSjz32GN566y3B3yvG3r17MWvWLEydOhWAV82QvwjEiykugzY4OIhly5ZJyBGNPMotE0TZBbwftJiYGGRmZkpUNHFJtBkzZmD//v2S1erw8DCMRiNMJhPeeecd3HnnnZKJRJ4Il5qaqlDexAojAYsQy5VUg8GA0NBQSbiOEA2z2Yzp06dT6xSLlUPasfr6+iRkhWYpIeSNnNMzzzyjSNoghDglJQVNTU0wGAwK3/NYPMRiVbSgoIBKiMU+12nTpuGRRx5RrH6JB5ece1FREbWEn1gNmjNnDurq6rB8+XIJIZY/P9oKnfaMSRF38XgaS1Kd3HdOW0SI763BYEBZWRlefPFFxceP5vuUvy+AkhAbDAZUV1dj1qxZkglZfr2pqalobGzElStXmPvSoR3Z2dmwWq3Myg179+6lRthI61w1LFiwAHv37qX+duTIERQVFQn/FhNiufWGwGAwYP78+VQVqrq6WiAskZGRyMjIYKqYQ0NDKC8vx2233YYlS5YA8KrlgLfs1OLFi7Fjxw6cOHFCUI5XrVolRO6++eYb/O53v5PsU6yiEoSFhWH+/PnUJDT54hHwzg1iQnzx4kWEhIQIc8eSJUtQU1OjEII8Ho+iekRpaamCELe1tVHVQIKsrCycOXNGUa1CToh5FSnkcLvdaG5uRkZGhiBkEZB7QKvOdOrUKSGhHQDuvPNObNmyBcePH2cSYlJlgnwL29raBOJZWFhIVX9Pnz4tHGfp0qX461//qki0HhoawpkzZwSCPnfuXGzduhVXrlwRCLeY+O7YsQP33XcffvzjH+O9995THFNe6owHrT7izs5OKrF96KGHJL0P/Pz8MH36dHz77bdwu90YGhpSRAkBtkJ89uxZKu8CrvqIfY2bkhBXVFTg17/+teRv8uQawHtT16xZowg1iQcRzVBPQHxJK1euRE1NDYqLixWhI9okes899wCQVrGgkSy5Eirel8lkwqFDh7Bs2TIFISbEIzY2FiEhIZJJSBziTktLw49+9CMmoQa8/r/g4GAJISQJSGJoVYgBIDQ0VEKaxNuxvHtyhVhegUBLNQFCdktKSvCXv/wFWVlZ6O/vl3yU5BYAQOl7ZhHiQ4cOSWpSk0ROgtzcXIX9xOPxKPY3b948VFZWSo7Z09MjPNeGhgb8x3/8BwIDAyUfXrfbjZGREeGYzz33HDZt2oSCggIFIRZfI83/TSPEYWFhMBqNkjJ8coWY1PmVhwxZCjHNMiG+Z5s2bUJZWZkiHE4jxOHh4cwkPTGCg4MRFRUlmRjFlgnAG1ZOTEyUEHGdEI8PrCoqX331FdasWYNt27YpftNKiPPy8lBTU0NNBjty5IgQxgWkhJgVxgW8JPvLL79U/J0oqQRLlizBJ598Qt3HRx99hNTUVKSkpODuu+9GXV2dxFd7xx134MMPP8Tx48eFrP2lS5di165dGBkZwauvvorXXntNspBmKZc//OEPqdUjaO9KcXExKisrBRW1pqZGck1msxlZWVkKgtTZ2Qk/Pz+JaFJaWoo9e/ZIFjQsNZAgKCgIMTExCquWnBDTLHssNDU1ISYmRrALEkJ8+fJlIQeDRr7ERBXw1pZfsWIF3nzzTWrZOADCt4wsGMTWBKfTqVC1Ozo6MDg4KFgwnE4n8vLy8Mc//lGyXW1tLRwOh/DNuu2224SEPYPBoEi8PnXqFPLz83Hffffhww8/VETIxqIQEx+xGjo7OxXVo1jIz89HVVWVpESmHCyFuLGxUWiYI0dWVha318K14qYkxLGxsQoyRPP/kcEpHmAej0eiGog/PGK1CLg6QRoMBgQFBVGTk2iT6OOPP46nn35asq0WhZi2L3k/cLkqOWPGDIl6IVf0srKycPbsWeFjRiMQ8gQCOXkg24hXzOSa5Aox4CWP4oxzsWUgOTlZsagg50WuvaCgADt37sSbb74puTfi805ISFCsIAkhNpvNKCkpgcFgQExMjERJkN8fwKtkqhFiu92OxsZGSRcg+b0MCwtDT0+PZNK+cuUKzGaz5OUOCAhQVMoQL1T8/PxgNBpRWloqWcwRLyT56NhsNpSVlSlaa8rJrsPhUHjHhoaGqIlj8lafckI8adIkBAQEKJQl2tiVK+9DQ0MYGRlRjC15JySAHgaOjIxUqD+08QwoyTNtASCfjHVCPD6wEql27dqF0tJSvPPOO5LF+cjIiMIry0JgYCDCw8OpFUTOnz+PlJQU4d/5+fmora1Fb28vVT0lmD17Ng4fPizxnPb29uLSpUsSkj5//nxm+Hvbtm2CAAJAsdgmTSpcLpcw1zgcDkRERKCiogLV1dX4xS9+IankwCLEM2fOxLFjxxT+YxohJuUpSR6N2AZB4HQ6FR7+8+fPIykpSfK3uLg4hIaGSp6tGiEGvD5teYRWToiTkpLQ3d2tqUKJ2G9OEt3Pnz+PzMxMbNu2DQ6HQyFujIyM4OzZsxJCDHgXJQAkiwQ5xD5icTWKrKwsxQK+vr4eKSkpEkJ49913KxZSp0+fluQFBQQE4NSpU9i4cSMAbwTx4MGDwjMmzU8iIyOxZMkSRTlRNaVeDK2EmBVVoYFYLnnjgaUQ09pmE6SlpQnlZX2Jm5IQx8fH4+LFixLiISdMgLfMzXPPPScZvFeuXIHRaBRIEfnwBQUFcf2OAN3bykrEkZdEY3mIxfu7fPmyYl9Tp07F0aNHBSLqdrslStzUqVMlyYNyBTQwMBBWq1XwQ9FIrHwFRyMP5N6KySxLIQ4JCZF84EgyHOCtnUxrnSu+j0lJSfjnf/5n7Nmzh/o7AEXIjDTYkE9IcrJFSwSMi4uTTLS06yLeMHIsQDnmTCYTQkJCmOq4GHIyRrMcpKSkSBZVtIkP8C7q2tvbhfCkXOEvLCxU+A9pzxhQJ8QA3T5Cu69yhZgsRuQqAosQy6+VFg6VW2kI5ORZ7CEmkPvnae+fDu0gJa3kqK6uxiOPPIKSkhL8wz/8gxASbm9vh9VqpXbYooFWbnF4eFgof0jg7++PkpISfPnll8x3BvCqgFlZWRLSdvbsWaSlpUmSxbKystDX16cg493d3Th8+DDKysqY52w2m1FUVISZM2dK/j5jxgxs2LABU6dOxb333osdO3YIai6LEFssFjgcDoXqylLBc3JyhCTZ5uZmhRJPs3ixiI3cNkFyUXiYPXs2du/eLfx7ZGQEHR0dEkXTaDQiPT2dmTAphphAkfmVREdbWlqQmJiosOsdP34c8fHxivd65syZWL9+veK5iEFq9Pf19cHj8Qj7oNXBpz0Dp9OJyspKiW1EnqwGeKNu5BsWHx8Pp9OJRx99FENDQ+jo6BDGwl133aXIPZHfTx5IfWi1hiNani0B+YbyrBsshZhlzZhI3JSE2GKxIDs7W5KYQFOKTCYTkpKSJB8ycUUIwKvq1dbWIiEhgZqwI55sWRMyjfCEh4cLxG90dJRKLGgeYvmLGxMTA4vFIniX5YQ2PT1d4jmiERNxRQYaQUtMTJQQXRZZ+slPfiKpw0hLPgOUlgnxs2F1spPfx/vuu09yTvLFibxO5NDQEEwmkyLMIibgIyMjGBoaUjyHjIwMyUROu0dmsxlVVVUSsk97XmFhYRLCz1Iw5WSMZjmQl/tjTe5msxnh4eHC/ZAT4oiICMyZM0eoeQmMnxDLrRAsQiy34tDID40Qd3R0KCoD0BRiFokNDw+XvM+05y5/d8QLNx1jByv6QxoHvPLKK1i7di0++OADANrtEgS02sGkxrc8U33RokXYtWsXVyEGoPBsNjU1KcK4JLFMvEAHvFaN/Px81TGzdetWybsHeEPlu3fvxqJFi+BwOFBYWCi0wqV5iAloSdCs70J2drZAiGkd2ZxOJyoqKhRWCBqxoRFi+fspB7lGIiCQWvTyhan8PWRBTIiJIHLu3DksX74cZrMZxcXFirnns88+w+LFixX7mjRpEh588EGFCCEGmZ+Jf5gs5GNjY9HX1yf5BtKqPZAkaTHZ5y3QCN555x189dVXqK6uRkREhDC2CwsL0dLSIhGCxqIQk/rQahYVua2Sh+TkZLS1taGhoYF5HjSFeGRkBH19fVTP8UTipiTEgPdlFq+UWcQjISEBDQ0N+PWvf43q6mpJZQCCgIAARXiXVEoQT/K0pB6WQiwmxIQIyEvUyBViVshWTOrlZE1eUovmkRUTXtp9SklJwbPPPitkiLPI0hNPPIFjx45Jml7QJgOr1SpZpYstE6RV9ObNmyWhShrhdblcgv9XrsaGhYXh8uXLQvY37boB+nOQK5TyWsw0cgd4CZ64OyDtXsoJMUshlk9stJrOckLMq4Ig9lTTqoSUlpZi/fr1wv1kWSZSUlJUCbHNZlNMYLR7Ju+kyHpGNEIsrpXN2h9AjwwBShWbNqblBFv+vusYG+Lj49HU1CSxVY2MjEhUse9973vYvn07PB6PpgoTYqSnpyuUOVbZqZkzZ+LQoUPc0lqAkmTLQ/oEJIFZjJqaGkn1AhZo3/5ly5bhxRdfFOwWS5cuFQgnadJDA61uPItk5eTkCDYH2uJj8uTJsNvtkuuiWZUAr9orDuWLu0iyMHnyZEyaNEk4X9a9ZTVakkNumWhqakJ9fT1mzJiBc+fOwWQyKex6LEKsBWJCLB5jBoMB6enpku83ayFRUFAg8RtrIcQWi0Vo3CFWk/38/BSJoFqsK2Jo8WyPxTrm5+eH1NRU7N27l3kedrsdvb29EqtPb2+vUIr0euKmJcTyDHYWMU1JSUFNTQ02bdqE999/X6EQi/cnVpQI2RGTp5iYGMXEzRo8Yi8TixTZ7XZcunRJIKKsyd3hcAiWBznxiI6ORnd3t7APGjFJTk4WFGKaqrtq1SoAEF5cFiH29/dHWlqaMCnRSBxwNfGKQEycw8LCUF9fj1/96leSot7y52c0GiVdx+T32Wg0SpLFWOqjWCFmEV0SAiNKCet5kfMnCydW8p382mn3KCsrS+iYRPYlPzdSAYR423nnJb5XtOdHsoNJFzwtCjEp4Sff7v7778dTTz0l8dzTvNkkMkGukbYNQCfEtIVrZGQkKisrJYqWuDKLGHIVW1xmjkC8WCLnpzV8r0MJ0uRAfE9bWloQFhYm3Fen04nh4WEcPnwYlZWVmgglAY0QsxTglJQUtLa2oqamhku65YRYXE1AjJKSEkUzCDWyzYOfnx8eeOAB4ZsmLrfFKwcmT7ryeDxMkkXID6krKz9Xg8GA1atXC8o0QI/MAN7vXlxcnECwtRA7g8GA2267TfBfs5Rv2nMVo7+/HyMjI5IFVHZ2NqqqqlBXVydJjBPPPU1NTWhpaZFUIBkLiLJJGxMzZ86U+MpZC7O8vDyJpVHLfQMgEGL52F24cKGQ2O3xeDTXISbwNSEGvGPyyy+/ZL4LJElT/F0QFwe4nrhpCbHcn8h6iGICUVdXR51oAWWlAdr+MjIycOLECUm2NIvERkREoKurCyMjI0wiYzQaMXnyZCGsxSL1YkIs35efnx8iIiIEpZlGOsTtmWnnEhsbi/vuu08w3LPIkvxcWGRP7qMVE2K73S4QGnGSBu1+JyUlCco27ffCwkIhyYBFdsPCwgQVkJcEGBISIqixLCsI2ZZcG+3Zyz1srHsUEREBPz8/gdCzajqnpqYKH1TWNQLSMjW055eWloYnn3xSiCawnrHD4RDOiZBIuQ1lxYoViImJEZ4N8W/Tmpn4+/tLxiaNcMbFxcHlckmiJbR3obS0FB0dHZIqJSzLhLw8HE011wmx7yEvl3ThwgWhYQLgJUk/+9nP8Pzzz+Pjjz/GjBkzNO+blPISV41h+RBNJhMyMjJw6NAhbuOP9PR0nD59Wli08Uhbb2+vJEJBmun4Aunp6ejq6kJHRwfXMkFLxg0ICKCOW5vNBpvNhvPnzzNV54KCAglho0VmxNsSz7EWywQACSFm3S8eIXa5XEhPT8f69esllono6Gg4HA7s379fkjAntkx8/vnnmD9//jVXKyAJ2bRKDmVlZZKEOZaHVk6ItSaspaenY8+ePYqxW1ZWhsOHD+PixYu4fPkyjEbjmMmrFkI8lnrsOTk5GBgY4L5n8mgci4dNNG5aQiy3OLCIKeDtY75hwwY0NjZyFWL5/uQDLSgoCNnZ2fiXf/kX7nYAhPbAFy5c4Cp7ixcvFrq3sfYlnrhZhFZM5miJZYRssAia2GfMI8RilZy1L3m4Wqwki0Mk8gx/+b7E50R7SX/5y19i06ZN6OjoYJIZsZeUpVACUh8x73mRaxsaGsLo6KjimPKEQpaKDkhtE6ztnE6nUHqNd17iqhs8tZx8lGiVRMj5Dw0N4cqVK1yCKLZWDA4OwmQyUcNfpMMc2Y62P39/fyxatEiiVNHGVkDA+zsLAAAbJUlEQVRAAPLy8gRSPzo6yly80CwTcoXYarXC7XYLthvW+enQDnGkAqBnkq9duxalpaVYvXq1pK6pGkJDQ5GbmysJ8fOSechxSRMOGhITE+Hn5ycQMnE1ATEMBgNyc3MlWfq+JMRGoxGFhYXYv38/enp6mKofqZ9Nxqya4pidnY3du3cjODiY+u2TR6p4nmun0zlmQkysFgMDA0yin5iYiPb2dkV3V8BreZgyZQref/99hcXm1VdfxdKlSyWeb3GErqKigps0pwZiT5FbJgBp0xWAbV0gthUiAql52glI9Qt5ZZDAwEDcfvvt2L59OzOawQOpkMHqugvwuRQNpJwgq4QdoEysE5cZvZ64qQmxluQlwEsW5s2bh8bGRvT09FD7r8uTvVjk9NNPP4XVapWojqzjkpq7PCKzYsUKoeA8yyMqVsNpKqE45Ew7H3H5GNa5yD2oPEJM9sVTP8VKCk3VvuOOOyTKDE0RFHufaS9pWloaioqKcOLECaZ6qsUyAUiVFy2EmGapAfh2ETmmTJkiWBh41SjIZK12/qSmKIvYiVfpNIIIeCd+4oPmEWJxPWmWNxjwfiQJcebtb+HChULSErH/0Mbg5MmThePS2qETyAkxbQFgMBgkCybedejQhri4OEnSDy2kO2nSJDzzzDN44oknqHVLeSguLpY09uERwnXr1uGNN96gtoYlMBgMmDFjhrDoZBFiAApCzFNyrwXFxcX405/+BIfDwVQ1zWYzEhIShHdKjRDn5OTg888/Z9pGwsLCEBQUJDwzXt1mQoivXLmCwcFBTSqi3W6Hw+FAbW0tM4nSz88PkydPpibWff7557j//vtx+fJlDA4OSuaAadOm4Z133pFsL/7+njx5UmiGci1IS0vDuXPn0NTUpCCefn5+mDNnjvDNYlkX7HY7bDabIApotUyQyElhYaHit/nz5+Obb77hPisWQkJCBNsiC2NViGfNmoVPPvmEW8JOzglYPGyicdMSYkLgyKTHI8SAlwz09/ejubmZSYjFBJtFiI1GI6ZOnSqslHl+G+LH5BEsYq3gXYM4/KumENNsAVoIsVaFWEyqWOdLkmsI5NtVVVVh48aNCAgIwMWLF+HxeKiEV2yZYNlJyDZakurUCKUWhZiE5Fir6JCQEIVlgrWvu+++G1999RVGRkaYJDY2Nlay2GHty+l0oq6uDn19fdTGKgAk1hreMyb2ITVCLCa6rPualZWFX/7ylzh69CiXcKakpHATP8XbEULMK5MWHBwsdE8i50i7XvF7z9pGh3bILRNj9TiqIScnR5HMxNp/YmIi1q5dq7rPvLw8geiyEr8AKSH2eDw+VYgBYM2aNfjqq6+4ShvgfafIeagRrNTUVOzZs4frdRZXo+CF9LOysoRureJ66GoglghxUpwctMS6np4e7N69GwsWLMCaNWswffp01WOJCfGFCxeQmJio6RxpsFgsiI2NRXl5OfWZiOv68shpbm4uqqqq4Ha7MTw8rIls2mw2nDhxguqxLygowIkTJ65JIQak452GsXqIjUaj6sJD3ihJ9xD7GAkJCTh//jxycnKwe/duJmEiMBgMiI2NRVVVFdUykZubi//7v/8TPua8QVFUVIRdu3apbqeFEBPCNjQ0hKGhIWZ1A5fLheHhYYyOjiqUvYSEBCGMTFOIrVYrBgcH4Xa7VatxeDweLlkKDw9XVcfF+6JtR7JLicF/cHAQRqNRcUxxIxTWfSZEnkXKtBJiogaQ89WqELN+J+BFEBITE9HR0YHe3l5YLBbqBCO3w7DO32QyCUSW9fxIvU9Sfo73jDs7O7kEVlz5hLfdHXfcAcCbsMkj2HJ7DI8QEyLO285oNErsK6zrFY8PvcrE+CEnxNeiYvGQkpIiqaozlta1LKSnp6O2thZXrlxBf38/swZrSUkJ9u7di+HhYbhcLgQEBPi0TF9cXBzWrVuHRx99lLvd9OnThYY9avc3OTkZbreb2REMuJpoRRL0WFYIk8mEvLw87Ny5k+sXlYNYw3hl9mg+4i1btmDBggWIiorCv//7v0uSsFkg39/e3l6Mjo6Om3Tl5OTA5XIhLS1N8Rupu03sZSxPLLFeyBsrqYH1HGJiYjA6OoqqqqprGvtqDTrGapnQArEYA+iWCZ/DbDYjIyMDgYGB+Oijj1QVYsD7sT5y5AgzI7eoqAibN28GwCe6a9euFVpo8gYPKR7OI1gkIaKlpUXoiicHeckJIZJvU1JSIoRuaMcyGAyCSsw6F5vNBqPRKFSsYBEX4kMdGRlhktCIiAiYzWaJ4kc7ZmpqKs6dO8e8h+IqBaxtSCYw61xsNhsuX74s+GJZhEdcK5H3vIhazyK6cg8lb18mkwlRUVGoq6tjbqNVIQauVkphEWKr1YrIyEjU1dUxLRPAVZLII4ji0DjvvsbGxmLdunU4d+4clxCHhoYKCai8RYTYk6y2CCYLydHRUYyMjFBD52JftZ5UN37QCLEvFeLk5GTU19cLi22tIWgeSNSBeEVZhCU+Ph7h4eE4deqUz+0SBA8//LCqr3rmzJlCd1K168/IyADgJWUskA6DPT09CAwM5L4DTqcT27dvV3Sz44EsxMdCiF944QW8+uqr+NnPfgbAO4dpKdFlsVgwNDSEhoYGxMbGjtmSI0dpaalQ0UgOYhvjtS0Grgo7vhirgPde5OTkoLy8/JrG4JQpUxQtu8UYq2VCC+QKsZ5UNwEoLy/H1q1bsXfvXkV7XBry8/PR399PDaMYDAa8/PLL+POf/wyXy8UlxA6HA5cvXxYUBdZ2JFFPjciEh4ejoaGBuR8ysfNq2ra0tKC/v59JPkl7ZrXErAsXLnDJEiEQZD+0j4DBYMCsWbOEjzavvW53dzfzHgYFBSE4OBhtbW3M50HOh6VSGo1GoUEEL7RPakKTEDvr+tUU4sTERFRUVAjhP7WFms1mQ0tLC/OZ2O12DAwMoK+vj0s8ybatra2YNGkSc/Ig4TK1KICah5hUG+EtjAiCgoLQ39/P3c5gMMBms6Grq4v77sXGxqKrqwtut5tblxm4+qyIFYI2VsW1xXXLxPihxUM8HoSEhCAoKEiwgPmCcMfHx6O9vR0NDQ2qIeiioiIcPnyYa62YaGRmZqKnpwctLS2qJCs0NBR/+tOfsHr1auY2JNGKVXJNDKfTibNnzyqSvXjIyMjAwYMH4e/vz3yvxZaJxsZGbN26Fd9++62kzbEWGAwGoc30WGpcs3DPPfegvr6eGb1zuVyor6/njkEyr/qKEANe5bqqqmpMz4FgypQpOH78uKReuBgT0cKe5iHWCbGPYTAYhFC3llDnypUrAbCzIdPT0zFlyhQcPHhQNRxLCCatwxgBqZWsRohJtzzWACE1VVn7IUkJJOxH2yY6OlogzaxzIYosjyyRJDU1ojd79mzs2LEDAL8Oc1dXF3dRQc6JtY2YELPGALF58LYh6nxHRwf3WRGPGmt8JCUlISsrC//4j/8Ij8fDVTsB7wTf3t7OPKbBYIDD4VCNNABXCTGP1GVmZuLMmTOaLBM8Quzv7w+bzYa2tjbVZLTg4GChiQpvO7KA5I0tPz8/oYyg2oebjC/etYr99bpCPH7Y7XYMDw8LVhWtWfVjAUms9Hg8PrFkmEwmJCQk4MCBA6p1hdPT01FXV8etFTzRMBqNmDFjBg4cOKDp+ufOnct9T0i989bWVtV9lZSUALhaWUALUlJS0NnZyV1AJCcno7m5GQMDA/jDH/6Au+6665oJbWhoKE6fPu0TQgyAKbSRsqlff/0115KSmJg4IYQYUFah0ILo6GhYLBZqV0lgYlrYy5ua6YR4gkDIqLhJAAt5eXn4+uuvuavg/Px8VFVVqYYNoqOj0dbWxu3Yo1UhjoiIENo00kAy6bu7u5mELjk5WSjxxmru0dzcrFkhZhGDwMBAGI1GtLW1cYne6tWrcejQIYE8045JPK88YpOUlIT6+nrVknQ8EiX2xPIWTlFRUWhoaOA+K7I4YRF0k8mEjz76CEFBQTh8+LBqO2CigPPuJfERq51/aGgoOjo6uISYVFPhRQFiY2NRX1+vShCJGsiq70wQFBSkmRCT8cC7H6Q7o9p2qampOHv2LPdayXsM6ITYFzAYDIJtYnR0lNn5bDwg4fW+vj4YDAaf+B0zMjLwySefqCZhEcvGRFkmtCIvLw8nT570CcmyWCxCTV81hTwyMhJ/+ctfMG/ePM37J+8Ub941m82Ij49HbW0t9u/fj+XLl2vevxxWq9WnhJiH9PR0fPrpp9xESIfDgY6ODrS2tmoqVacFhYWFiIyMvOYqGgUFBTh27Jji7yTB29ct7MXCA6AT4gmHFkIM8GtSAlf9PlrUp+7ubnR1dTGTMEhNxMuXL6taJniEGFAPrZP6wCzCq/Y7oE0hBrwE/sKFC9yJyN/fX0imYJF0kuHf19enek6sVStRrHn7IAqrmpIZGRmJhoYGLrkjHmIeGSMdmo4ePaqqpIeEhKCtrY07PrQsZgDvYqW7u5t7jWJCzHrGpaWl+Oabb6hd6sQghFjNMhEcHCxUv9Bybmr3LDk5GadPn1ZdtGZlZaGqqop7rSTSA/CrZejQDkKIXS4XgoODfW5DIc0FfOlPLioqQlVVlSohJlVtfF1hYqwgiwJfqY6ZmZn44osvNCXLlZSUjPmZ7t+/H2+//TZ3m4yMDJw6dQq1tbVcz7MafK0Q8zBt2jScOXOGe74mkwkxMTE4fvy4zxTitLQ0HD169JpbH4ubrIjBKic6XtjtdgwNDQkVmHRCPIFISkry2UAjBEyNEBNfL08hNplMCA4ORmtrK5fIxMbGYt++fVxCbLVa0dzczCV9PNJEPJ+8EL64WgXPjx0REYH6+nrVVSRpGc06JzEB4inE58+fZ25jNpsRFBSEixcvchOx6urqVBXWyMhI1NbWIiQkhLkNUTF7e3u5LzQJk6mRWKIQq40PLQqxFkJMFnI8GwEJGzc2NnKJaVZWFo4fP67ZMqG2ndgywXv3Vq9ejf/+7/9GR0cHd7u5c+eivLxcc11ttYWgDm0gCyVaQwNfgDSTaG9v99l3nyiSs2fP5m5HqqtcvHjxhhJiUiayubnZJ+eRmZmJI0eOTBiJTEhIUD3PjIwM/O1vf4PD4RiX6h8aGoqWlpbrQohXrVqFu+66C8uWLeNul5CQgKNHj/rcPnStyM/Px/HjxxV/V8vLuFaII0eAtwOhXod4grB9+3ZJG8XxgBAwtXCszWZDZ2cnLl26xCVGNpuNS2QB70uVmZmJ73//+6r7YREiQohZIfqYmBjBQ8y6rujoaDQ1NamSAofDgbq6OtWPFlHIWcfUaplQW6CEh4fjwoULzN+Tk5OFWsVqlonq6mrui0quo7W1lUucycuvZpnQohATQqxFIXa5XNznR0gnz0YAeBcRVVVV3GdcVFQk1BdWs0xoUYi1eIgBYOrUqUhISMCnn37KfVZxcXEYHh7m2kjkCrFumRg/yNi/1jqpaiBlwnypECcmJuLMmTPU8lpiBAYGwmq14ujRozfUMkGqrbjdbp+E4YknlVb39nohIyMDO3fuHPc5kPn4ehDiiIgIvP7666qeW9JJ9LtEiCsrKzEyMiL5+0SUXCMQV2DSFeIJRGRkpGoyhFaQLPbu7m7uSslms+HIkSNISEjgqql2u51L1gBv+KO8vBxOp5O5jdVq5VomxAoxy0NMFEsWkbPb7Whra1MlBbGxsaitrdVEiDs7OzE6OkolJIQA8Uz8sbGxaGpq4pKkqKgo1NfXM38npcvUiFteXh4+//xzLskindzq6+u5hJgoj2rkLjg4GO3t7dzzIuX7tBDPsRBi3nYOh4N7TwHvR56cl5oKTjzEvPMnEQMtWc4FBQU4fPiwai3LyMhINDY2Mq81JCQEo6Ojmgi7Dm0ghLi9vX1CCHFERASMRiNOnTrlU3+yViKQlJSEjo4O1QYaE4lJkybBarXCz8/PJ+HtRYsWYfHixZqaX0wUSIm4oqKice2HLJLGUhpuokGS33ztp79W2Gw2REZGKroDqkXnxgOyKPB4PKoR1onCLUGIfQk/Pz84HA6cPn2aOzDCwsLwzTffqK5m7XY7Tp06NW7CTjzEagoxS0Ukpvbg4GCm78hut6Ovr0+TQqyFEIeGhgp2EdpH29/fH/7+/mhtbWXuy2azCZUTWAuPpKQkVFdXM/dB1HE1Qrlw4UKhjBgP4eHhOHfuHPeFJmXcrly5Mm4PMVkUqCnEFosF3d3dPiHEVquVa0MBrpJ+LZYJrQoxqTqiZschbULVCHF0dDSXEIvbN+uE2Dcglglfl1wTIz09Hfv3778hihsZm75KkLpWvP/++/j88899sq+AgABs3rz5ho7/9PR0PPjgg6r2AzWQdsffJftTQUEBAIyrlbSvUVBQgKNHj0r+NlGWCeDqQplwjBvxfHRCfA1ISkpSJQPx8fHo6elRrZNIPprjDd/YbDY0NTUxSTohfazkMvKhc7lczGOQ65WHUeQgWbNqK0ni5eLdR7vdzq3BHBISgpGREe6HmiRK8qwgbW1tqtUQiJpFGmGwEBMTg+rqaq5CTMrMaFGIR0dHNXuItSTVqfmMR0ZGcOnSJa5lQovVx2KxwGKxcK085JgDAwPo7+/nPseEhASh/bSWECQAVZUhIiICFy9e5H58xXWqv0uT6N8riBI0UZYJ4CohvhGK2wMPPIAXXnjhuh9XjqysrHG1Jv6uwWQyYf369eNWdhctWiSphf1dwOzZs/HZZ5/5vHrDeOB0OnH48GHJ366HZeJG2SUAnRBfE8hHhrdSItvk5uZy93XnnXfCZrON+8NltVpRX1/PDOcHBAQgODgYFy9eZL5006ZN4x6DqLj9/f3c7YjarabOEJuHGiHmXRc5J142LSHErJcsICAAQUFBOHfunKqiePDgQWzatIm7TWJiIjweD3eyt1gsCAgIQGNjo6qHmHfugHdh4efnB5fLpclDzNvGYDAI1hg1hXh4eFj14xgWFoaLFy9yiS4pjdXV1cXdLj8/H2fPnkVNTY3qB5M8czWVzmq1or29XZX8t7e3w2QyqTb30aGOqKgo9Pb24sKFCxOmEKempmJkZOSGEMJFixbhoYceuu7H1fH3C9Jd7rsEp9OpqDQxEU05CMhCubu7+4Yk1AE6Ib4mEL8PUaFoSE5Oxrp167Bw4ULuvmbNmoWqqqpxhyEiIyPh8Xi4AykmJoZLiLZs2YK//e1v3OMYDAbVEnZE7VZTZ8SWCRbsdjvq6uqYpesIeISGkCOefSUmJgY1NTWqhDguLk619BBRMHjF2AFvQfq+vj4uuSOEWO36SQIPj1AS8qpWOkxLAw8yztQIsd1uV42mAN7FZWdnJ/f8LRYLvve972H37t2qRDcuLg4VFRWqfkPSPIR3XGLL0e0SvoHRaITD4cDhw4cnjBCTsPh4ynPp0HErIzc3F7W1tRIBbCLaNhMQy4SuEP+dgZAB3sCYNGkSHn74YZhMputyTkQJ4REnotyyCKjValXtMKRFISPHUauBSLq6qbUb7u7uViWEbreb+VtSUhJWrlzJVWyJzUONEGtBaWkpAKhmmZNj8RYxWgnx6OgoAP4910qIrVYrOjo6uIsMQki1EOKmpibVUGBQUBC6urpULQkksVTtfgDeZ6plDLa1tanWlm5padHtEj5Eeno6WlpaJizxbNq0adi8efNNZRnQoeN6IiAgQCidSTCRlomIiAj09/ejsbHxhvnvdUJ8DVixYgU2btx4o09DAjKx8HyraoRYC4aHh1W3ISRETSElq0AeCSXEh0cap0yZwt2H2WzG73//e262Nbk3vliZZmZmoqKiQnXx8MQTT+DHP/4xdxuioKmdF8nA5oF8yNSUztDQUHg8Hu6Hj5B9NdJvt9tVbTHA1WoaatuNhRBrgdVqVSXEcXFxqK2t1RViH4JYydS+EdcKg8GAxYsX+7yBgA4dtxIKCwsltomJtEyQWsQHDhy4LiXxaLg+8uVNhqCgIKxevfpGn4YECQkJeP7557llcYjiN95uW1r+v5akBUJieWSWTJg84rVt2zYMDg6qHo8HUhTeFwoxAE1VQ4qKilRD+mQ/aue1YcMGPPvss9xttCrEZFHFW1yR58GzDQFXiasWhVhLSZ/s7GzMmjXLZ00PQkNDVauLpKamYvv27Toh9iEeffRROJ1O3ZOtQ8d3GIWFhdi5c6fw797e3gmtr52QkIB9+/apCkUTBZ0Q30T46U9/yv2dqCXjUU2efvppn5FGYjnhWU+ID5nn2/WFp4mEw32lPPoSDQ0NqsQhNDRU9bmMxTIB8AkxsZ+oEX9yP9WUX0KE1QixwWDA1q1buduMBSTywLsnCQkJOHPmjFDKTcf4ERgYiEWLFt3o09ChQwcHTqcTv/nNb+DxeGAwGNDb26spGnmtIC3Cb1QNb50Q30J46qmncN99941rH7/4xS98dDZXrRVDQ0PMbW6//XaEhIRMeOhz+vTpKCsr+076RH2lomklxIRY8wixv78/6uvruT5jQDshJouaifKnsUCulaf+hoWFYWRkZMKSSXTo0KHju4ikpCQEBATg4MGDmDFjBnp7e30miNFAkmFJXebrDZ0Q30IICQnhkpwbhba2NuZvFosFS5YsmfBzmD59+g3twnQ9QMi+GsEmCrGazUGNDANjV4ivNyEm16rWIQ/wnZ1Ghw4dOv4eYDAY8NRTT+HJJ5/EJ598gp6engn9Di5fvhwff/zxhNUnV4OeVKfjhiIjI0O1soUO34Co7GoJesS37QtVXms1CqK+TlTCBgtaCDFZGHwXowc6dOjQMZFYtWoVCgsL8cILL0x4S2WDwSAkTt8I6AqxjhuKL7744kafwi2Fe++9VzUhdNasWVi+fLlPjjd16lSsW7dOtbsUsSxcb9JJ1A7eccnCYLyJmzp06NDx94iXXnoJc+fORVdX1w3p/ni9oCvEOnTcQnjllVdUuwDZ7Xa8++67PjleUFAQHn74YdUKDX19fQB8o0qPBcT20djYqLptQ0PDRJ+ODh06dHznEBwcjDVr1sBsNmuqoPT3Cl0h1qFDxw3HT3/6U6xateqGHPu9995TrSDxxBNP3LBi8Tp06NBxo3HnnXeir6/vpq7tbfB4PJ4bfRI6dOjQoUOHDh06dNwo6JYJHTp06NChQ4cOHbc0dEKsQ4cOHTp06NCh45aGToh16NChQ4cOHTp03NLQCbEOHTp06NChQ4eOWxo6IdahQ4cOHTp06NBxS0MnxDp06NChQ4cOHTpuaeiEWIcOHTp06NChQ8ctDZ0Q69ChQ4cOHTp06Lil8f8QOLmQwbhrgwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x216 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig = plt.figure(figsize=(10,3))\n",
    "plt.tight_layout()\n",
    "lw = 1.0\n",
    "plt.style.use(['seaborn-white', 'seaborn-paper'])\n",
    "ax = fig.add_subplot(3, 2, 1)\n",
    "\n",
    "n = 7984\n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window , signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "\n",
    "ax = fig.add_subplot(3, 2, 2)\n",
    "n = 1534235\n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window  , signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "\n",
    "ax = fig.add_subplot(3, 2, 3)\n",
    "n = 4538\n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window , signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "\n",
    "ax = fig.add_subplot(3, 2, 4)\n",
    "n = 1536184\n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window  , signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "ax = fig.add_subplot(3,2, 5)\n",
    "\n",
    "n = 5121\n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window , signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "\n",
    "ax = fig.add_subplot(3, 2, 6)\n",
    "n = 1532963 \n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window  , signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "\n",
    "set_style()\n",
    "fig.tight_layout() # Or equivalently,  \"plt.tight_layout()\"\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Poor examples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x216 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig = plt.figure(figsize=(10,3))\n",
    "plt.tight_layout()\n",
    "lw=1.0\n",
    "plt.style.use(['seaborn-white', 'seaborn-paper'])\n",
    "ax = fig.add_subplot(3, 2, 1)\n",
    "n = 6444\n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window, signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "\n",
    "\n",
    "ax = fig.add_subplot(3, 2, 2)\n",
    "n = 1530124\n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window , signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "\n",
    "\n",
    "ax = fig.add_subplot(3, 2, 3)\n",
    "n = 3427\n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window, signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "\n",
    "\n",
    "ax = fig.add_subplot(3, 2, 4)\n",
    "n = 1530167\n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window , signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "\n",
    "\n",
    "ax = fig.add_subplot(3,2, 5)\n",
    "n = 3393\n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window, signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "\n",
    "\n",
    "ax = fig.add_subplot(3, 2, 6)\n",
    "n = 1530327\n",
    "signal = train_x[n]\n",
    "x = np.linspace(0, window , signal.shape[0])\n",
    "ax.plot(x, signal, color='k', ls='solid',linewidth=lw)\n",
    "ax.set_xlabel('',fontsize=30)\n",
    "ax.set_ylabel(' ',fontsize=30)\n",
    "ax.tick_params(labelsize=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.get_xaxis().set_ticks([])\n",
    "ax.get_yaxis().set_ticks([])\n",
    "\n",
    "set_style()\n",
    "fig.tight_layout() #Or equivalently,  \"plt.tight_layout()\"\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
